Description
Use the geometric mean to find the 7th term in a geometric sequence if the 6th term is 12 and the 8th term is 27. |
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Explanation & Answer
Solve for the common ratio using the two terms given:
a(8) = ar⁷
a(6) = ar⁵
ar⁷ / ar⁵ = 216 / 12
r² = 18
r = √18
Find the seventh term by plugging it into the formula
a(7) = ra(6)
a(7) = √18 × 12
a(7) = 3√2 × 12
a(7) = 36√2
= 50.91
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At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is your decision?reject Hodo not reject Hoindeterminatereject H11.9 points QUESTION 46The manager of a package courier service believes that packages shipped at the end of the month are heavier than those shipped early in the month. As an experiment, he weighed a random sample of 20 packages at the beginning of the month. He found that the mean weight was 20.25 pounds and the standard deviation was 5.84 pounds. Ten packages randomly selected at the end of the month had a mean weight of 24.80 pounds and a standard deviation of 5.67 pounds. At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is your conclusion?There is no evidence of a difference in the mean weightthere is no evidence that the packages shipped at the end of the month weigh morethere is evidence that the packages shipped at the end of the month weigh morethere is evidence that the packages shipped at the end of the month weigh less1.9 points QUESTION 47A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is the alternate hypothesis?Uf does not equal Um, where f=final and m=midtermUf < UmUm > UfUf > Um1.9 points QUESTION 48A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is the critical value?1.963.52.283.14271.9 points QUESTION 49A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is your test statistic?10.579.273.5041.961.9 points QUESTION 50A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is your decision?do not reject Horeject Horeject H1inconclusive1.9 points QUESTION 51A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is your conclusion?There is no difference between the scoresthere is no evidence of a significant improvement on the finalthere is evidence of a significant improvement on the finalstudents scored better on the midterm1.9 points QUESTION 52There are two car dealerships in a particular area. The mean monthly sales at the two dealerships are about the same. However, one of the dealerships (dealership A) is boasting to corporate headquarters that his dealership’s monthly sales are more consistent. An industry analyst reviews the last seven months at dealership A and finds the standard deviation of the seven monthly sales to be 14.79. He reviews the last eight months at dealership B and finds the standard deviation of the eight monthly sales to be 22.95. Using the .01 significance level you will test to conclude if the analyst finds evidence that the boast of dealership A is correct. What will be your critical value?1.1.552.1.353.2.414.8.261.9 points QUESTION 53There are two car dealerships in a particular area. The mean monthly sales at the two dealerships are about the same. However, one of the dealerships (dealership A) is boasting to corporate headquarters that his dealership’s monthly sales are more consistent. An industry analyst reviews the last seven months at dealership A and finds the standard deviation of the seven monthly sales to be 14.79. He reviews the last eight months at dealership B and finds the standard deviation of the eight monthly sales to be 22.95. Using the .01 significance level you will test to see if the analyst finds evidence that the boast of dealership A is correct. What is the value of the test statistic?2.418.261.551.961.9 points QUESTION 54There are two car dealerships in a particular area. The mean monthly sales at the two dealerships are about the same. However, one of the dealerships (dealership A) is boasting to corporate headquarters that his dealership’s monthly sales are more consistent. An industry analyst reviews the last seven months at dealership A and finds the standard deviation of the seven monthly sales to be 14.79. He reviews the last eight months at dealership B and finds the standard deviation of the eight monthly sales to be 22.95. Using the .01 significance level does the analyst find evidence that the boast of dealership A is correct?yesnoindeterminant
PSY 230 Rio Salado Null & Alternative Hypothesis in Statistical Symbols Questions
Two types of medication for hives are being tested. The manufacturer claims that the new medication A is more effective th ...
PSY 230 Rio Salado Null & Alternative Hypothesis in Statistical Symbols Questions
Two types of medication for hives are being tested. The manufacturer claims that the new medication A is more effective than the standard medication B and undertakes a comparison to determine if medication A produces relief for a higher proportion of adult patients within a 40-minute time window. In a random sample of 40 adults given medication A, 34 were symptom-free after 40 minutes. In a random sample of 34 adults given medication B, 28 were symptom-free after 40 minutes. The hypothesis test is to be carried out at a 1% level of significance.1. State the null and alternative hypotheses in words and in statistical symbols.2. What statistical test is appropriate to use? Explain the rationale for your answer.3. Would the test be right-tailed, left-tailed or two-tailed? Explain the rationale for your answer.4. Describe an outcome that would result in a Type II error. Explain the rationale for your answer.5. Describe an outcome that would result in a Type I error. Explain the rationale for your answer.
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Psy 260 Week 6 Quiz
1. True or false: Statistically, we cannot conclude that the proportions of people who do and do not feel safe walking in ...
Psy 260 Week 6 Quiz
1. True or false: Statistically, we cannot conclude that the proportions of people who do and do not feel safe walking in their neighborhood at night ...
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the ques ...
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below.
Step 1: Your instructor will provide you with 10 values to use for this lab.
Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following:
Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample?
Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values.
Data Example of 10 people with different heights(your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering).Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.
How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random?
What part of the country did your study take place in?
What are the age ranges of your participants?
How many of each gender did you have in your study?
What are other interesting factors about your group?
Step 3: Use the Week 5 Excel spreadsheet for the following.
(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study.
What do these values tell you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.
Step 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".
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Consumer Math Discussion Post Taxes
TaxesTaxes are part of all are lives. In this discussion you have the opportunity to look at one particular type of tax. C ...
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TaxesTaxes are part of all are lives. In this discussion you have the opportunity to look at one particular type of tax. Choose between finding property tax, sales tax or income tax. Share your thoughts on paying taxes and post your answers to one of the three questions listed below.Calculating Property Tax Go to http://www.dat.state.md.us/sdatweb/taxrate.html. What would be the county tax on a property in Dorchester subdivision assessed at $240,000? In Allegany subdivision, what would be the difference in county property tax on a $400,000 property in Barton and one in Frostburg?Calculating Sales Tax Go to http://www.taxadmin.org/fta/rate/. It’s August and you need to buy school clothes and supplies for your five children. You live in the northwestern corner of Connecticut, within easy driving distance of both Massachusetts and New York State. What would the sales tax in each state be on a total of $830 worth of purchases? If shopping outside the state would cost around $20 in gas, in which state would this shopping trip cost the least?Calculating Income Tax: Married Couple Go to www.irs.gov/pub/irs-pdf/i1040tt.pdf. The 2010 tax tables (or current year) will come up as a pdf file. What is the tax for a head of household with a taxable income of $31,430? How much tax would a married couple filing jointly pay on $66,980? What about if they filed separately?
Chamberlain College Week 7 Data Collection Method Lab Paper
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 8LessonChamberlain Univ ...
Chamberlain College Week 7 Data Collection Method Lab Paper
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 8LessonChamberlain University LibraryScenario/SummaryThe highlight of this week's lab is confidence intervals and the use of these intervals in the health sciences. There is a short reading that specifically relates confidence intervals to health sciences and then you are asked to demonstrate your knowledge of confidence intervals by applying them in a practical manner.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the article you find.Required SoftwareMicrosoft WordInternet access to read articlesSteps to Complete the Week 7 LabStep 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".First Article: Confidence Intervals, Part 1 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Second Article: Confidence Intervals, Part 2 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with), discuss your method of collection for the values that you are using in your study. What are some faults with this type of data collection? What other type of data collection could you have used, and how might this have affected your study?Step 4: Now use the Week 6 Spreadsheet (Links to an external site.) to help you with calculations for the following questions/statements.Give a point estimate for the average height of all people at the place where you work. Start by putting the ten heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval?Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheetStep 5: Now, find a 99% confidence interval for the same data. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.Step 6: Save the Week 7 Lab document with your answers and include your name in the title.Step 7: Submit the document.GradingThis activity will be graded based on the Week 7 Lab Rubric.Course Outcomes (CO): 8RubricWeek 7 Assignment: LabCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeData Collection and Pitfalls Range12.0 ptsProficient Lab includes all of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection10.2 ptsAbove Average Lab includes 3 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection8.4 ptsAverage Lab includes 2 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection6.6 ptsNeeds Improvement Lab includes 1 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection0.0 ptsNo Effort12.0 ptsThis criterion is linked to a Learning OutcomeEstimate a Confidence Interval15.0 ptsProficient Lab includes all of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval12.75 ptsAbove Average Lab includes 3 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval10.5 ptsAverage Lab includes 2 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval8.25 ptsNeeds Improvement Lab includes 1 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeInterpret a Confidence Interval15.0 ptsProficient Lab addresses all of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning12.75 ptsAbove Average Lab addresses 2 out of 3 of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning10.5 ptsAverage Lab addresses 1 out of 3 of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning8.25 ptsNeeds Improvement Lab mentions but does not explain fully any of the following *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeGrammar and Formatting8.0 ptsProficient Lab is easy to read and presents material in a logical order with no grammatical errors.6.8 ptsAbove Average Lab is easy to read and presents material in a logical order. There are a few grammatical errors but they do not distract from readability.5.6 ptsAverage Lab is easy to read and has few grammatical errors, but it is not logically organized.4.4 ptsNeeds Improvement There are significant grammatical errors and organizational issues that distract from readability.0.0 ptsNo Effort8.0 pts
Problems dealing with Confidence Interval Estimation and Hypothesis Testing
There are actually 9 problems broken down to individual components to identify key steps required to solve the problem. Th ...
Problems dealing with Confidence Interval Estimation and Hypothesis Testing
There are actually 9 problems broken down to individual components to identify key steps required to solve the problem. They appear as multiple chioce questions. For example the 1st 8 questions are dealing with one problem.The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. A random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. In estimating a 95% confidence interval estimate of the average number of days absent for the company's workers last year what will be the standard error?4.0.16.80.0251.8 points QUESTION 2The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. a random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. In estimating a 95% confidence interval estimate of the average number of days absent for the company's workers last year should you use a z or t value in the formula?zt1.8 points QUESTION 3The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. a random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. In estimating a 95% confidence interval estimate of the average number of days absent for the company's workers last year what would be the value of your UPPER limit?17.9610.0311.358.0491.8 points QUESTION 4The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. a random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the sample proportion used in the formula?.12.10.480401.9 points QUESTION 5The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. a random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year would you use a z or t in the formula?zt1.9 points QUESTION 6The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. a random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the value of the Z used in the formula?1.7081.7111.651.961.9 points QUESTION 7The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. a random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the upper limit of the confidence interval?.516.6445.284.6761.9 points QUESTION 8You are considering investing in a company. The company claims for the past few years the average monthly return on such an investment has been $870 with a standard deviation of $50. You sample 30 investors and determine the sample average return to be $855. Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. Is this a 1 or 2 tail test?1 tail2 tailindeterminatenone of the above1 points QUESTION 9You are considering investing in a company. The company claims for the past few years the average monthly return on such an investment has been $870 with a standard deviation of $50. You sample 30 investors and determine the sample average return to be $855. Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. What are your critical values?+- 1.65+- 2.045+-1.96+-1.651.8 points QUESTION 10You are considering investing in a company. The company claims for the past few years the average monthly return on such an investment has been $870 with a standard deviation of $50. You sample 30 investors and determine the sample average return to be $855. Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. What is the value of your test statistic?.30-.308.98-1.641.9 points QUESTION 11You are considering investing in a company. The company claims for the past few years the average monthly return on such an investment has been $870 with a standard deviation of $50. You sample 30 investors and determine the sample average return to be $855. Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. If your test statistic is -1.64 what will be your decision?Reject HoReject H1Do not reject H1Do not reject Ho1.9 points QUESTION 12You are considering investing in a company. The company claims for the past few years the average monthly return on such an investment has been $870 with a standard deviation of $50. You sample 30 investors and determine the sample average return to be $855. Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. What is your conclusion?There is evidence of a difference in the average return.There is no evidecne of a difference in the average returnIndeterminateInconclusive1.9 points QUESTION 13A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. Is this a 1 or 2 tail test?1 tail2 tail1.9 points QUESTION 14A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. Is this a one sample or two sample test?one sampletwo sample1.9 points QUESTION 15A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. Is this a test of sample means or sample proportions?sample proportionssample meansbothneither1 points QUESTION 16A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What are your critical values?+- 1.65+-1.961.741.791.9 points QUESTION 17A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What is the value of your pooled proportion?.27.73.55.051.9 points QUESTION 18A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What is the value of your test statistic?1.961.651.74.051.9 points QUESTION 19A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What is your decision?Reject HoReject H1Do not reject Honone of the above1.9 points QUESTION 20A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. If you determine not to reject the null hypothesis what is your conclusion?There is evidence of a difference in the proportions of college aged students and non college aged students having accidentsThere is no evidence of a difference in the proportions of college aged students and non college aged students having accidentsthe data is inconclusivenone of the above1.9 points QUESTION 21A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days. Because of recent drought conditions, they believe that the mean selling time is now greater than 90 days. A statewide survey of 100 farms sold recently revealed that the mean selling time was 94 days, with a standard deviation of 22 days. At the .10 significance level you will test to determine if there has been an increase in selling time. Is this a 1 or 2 tail test?1 tail2 tail1.9 points QUESTION 22A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days. Because of recent drought conditions, they believe that the mean selling time is now greater than 90 days. A statewide survey of 100 farms sold recently revealed that the mean selling time was 94 days, with a standard deviation of 22 days. At the .10 significance level you will test to determine if there has been an increase in selling time. What is the H1?H1: U< 90H1 not equal to 90H1: U>90Ho: U > or equal to 901.9 points QUESTION 23A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days. Because of recent drought conditions, they believe that the mean selling time is now greater than 90 days. A statewide survey of 100 farms sold recently revealed that the mean selling time was 94 days, with a standard deviation of 22 days. At the .10 significance level you will test to determine if there has been an increase in selling time. Is this a Z or t test?tZ1.9 points QUESTION 24A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days. Because of recent drought conditions, they believe that the mean selling time is now greater than 90 days. A statewide survey of 100 farms sold recently revealed that the mean selling time was 94 days, with a standard deviation of 22 days. At the .10 significance level you will test to determine if there has been an increase in selling time. Assuming we are using a t test what will be the critical value"?1.28-1.281.29-1.291.9 points QUESTION 25A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days. Because of recent drought conditions, they believe that the mean selling time is now greater than 90 days. A statewide survey of 100 farms sold recently revealed that the mean selling time was 94 days, with a standard deviation of 22 days. At the .10 significance level you will test to determine if there has been an increase in selling time. What is the value of your test statistic?1.281.791.82-1.821.9 points QUESTION 26A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days. Because of recent drought conditions, they believe that the mean selling time is now greater than 90 days. A statewide survey of 100 farms sold recently revealed that the mean selling time was 94 days, with a standard deviation of 22 days. At the .10 significance level you will test to determine if there has been an increase in selling time. What is your decision?reject Hodo not reject Horeject H1none of the above1.9 points QUESTION 27A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days. Because of recent drought conditions, they believe that the mean selling time is now greater than 90 days. A statewide survey of 100 farms sold recently revealed that the mean selling time was 94 days, with a standard deviation of 22 days. At the .10 significance level you will test to determine if there has been an increase in selling time. What is your conclusion?there is no evidence that there has been an increase in the average selling timethere is evidence that there has been an increase in the average selling timethere is no evidence that there has been a decrease in the average selling timethere is evidence that there has been a decrease increase in the average selling time1.9 points QUESTION 28The policy of the Suburban Transit authority is to add a bus route if more than 55 percent of the potential commuters indicate they would use the particular route. A sample of 70 commuters revealed that 42 would use a proposed route from Bowman Park to the downtown area. You will be testing to determine if the Bowman-to-downtown route meets the STA criterion using the .05 significance level. Is this a one or two tail test?1 tail2 tailbothneither1.9 points QUESTION 29The policy of the Suburban Transit authority is to add a bus route if more than 55 percent of the potential commuters indicate they would use the particular route. A sample of 70 commuters revealed that 42 would use a proposed route from Bowman Park to the downtown area. You will be testing to determine if the Bowman-to-downtown route meets the STA criterion using the .05 significance level. Is this a Z, t, or F test?ZtF1.9 points QUESTION 30The policy of the Suburban Transit authority is to add a bus route if more than 55 percent of the potential commuters indicate they would use the particular route. A sample of 70 commuters revealed that 42 would use a proposed route from Bowman Park to the downtown area. You will be testing to determine if the Bowman-to-downtown route meets the STA criterion using the .05 significance level. What is the alternate hypothesis?Ho: proportion > .55H1: proportion > .55H1: proportion < .55H1: proportion > .601.9 points QUESTION 31The policy of the Suburban Transit authority is to add a bus route if more than 55 percent of the potential commuters indicate they would use the particular route. A sample of 70 commuters revealed that 42 would use a proposed route from Bowman Park to the downtown area. You will be testing to determine if the Bowman-to-downtown route meets the STA criterion using the .05 significance level. What is the value of your critical value?1.96-1.961.645-1.6451.9 points QUESTION 32The policy of the Suburban Transit authority is to add a bus route if more than 55 percent of the potential commuters indicate they would use the particular route. A sample of 70 commuters revealed that 42 would use a proposed route from Bowman Park to the downtown area. You will be testing to determine if the Bowman-to-downtown route meets the STA criterion using the .05 significance level. What is the value of your test statistic?.60.85.05.551.9 points QUESTION 33The policy of the Suburban Transit authority is to add a bus route if more than 55 percent of the potential commuters indicate they would use the particular route. A sample of 70 commuters revealed that 42 would use a proposed route from Bowman Park to the downtown area. You will be testing to determine if the Bowman-to-downtown route meets the STA criterion using the .05 significance level. What is your decision?reject H1do not reject Horeject Hoindeterminate1.9 points QUESTION 34The policy of the Suburban Transit authority is to add a bus route if more than 55 percent of the potential commuters indicate they would use the particular route. A sample of 70 commuters revealed that 42 would use a proposed route from Bowman Park to the downtown area. You will be testing to determine if the Bowman-to-downtown route meets the STA criterion using the .05 significance level. What is your conclusion?There is evidence that more than 55% would use the route and therefore the STA criteria is met.There is no evidence that more than 55% would use the route and therefore the STA criteria was not met..60 is greater than .55 so the criteria is metindeterminant1.9 points QUESTION 35An industrial engineer would like to determine whether there are more units produced on the afternoon shift than on the morning shift. A sample of 50 morning-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. Is this a one sample test or a two sample test?one sample testtwo sample testneitherboth1.9 points QUESTION 36An industrial engineer would like to determine whether there are more units produced on the afternoon shift than on the morning shift. A sample of 50 morning-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. Is this a one tail or two tail test?neitherone tailtwo tail1.5 points QUESTION 37An industrial engineer would like to determine whether there are more units produced on the afternoon shift than on the morning shift. A sample of 50 morning-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. What is H1?Ua < Um where "m" is morning and "a" is afternoonUm > UaUa > UmUa not equal to Um1.9 points QUESTION 38An industrial engineer would like to determine whether there are more units produced on the afternoon shift than on the morning shift. A sample of 50 morning-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. What is your critical value?1.961.281.645.051.9 points QUESTION 39An industrial engineer would like to determine whether there are more units produced on the afternoon shift than on the morning shift. A sample of 50 morning-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. What is your test statistic?1.6451.28.0561.9 points QUESTION 40An industrial engineer would like to determine whether there are more units produced on the afternoon shift than on the morning shift. A sample of 50 morning-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. If your critical value is on the right of your curve and your test statistic is less than the critical value what will be your decision?reject H1do not reject Horeject Hoit depends1.9 points QUESTION 41An industrial engineer would like to determine whether there are more units produced on the afternoon shift than on the morning shift. A sample of 50 morning-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. What is your conclusion?There is evidence that the mean number of units produced by the afternoon shift is larger.There is evidence that the mean number of units produced by the morning shift is larger.There is no evidence that the mean number of units produced by the afternoon shift is larger.There is evidence that the mean number of units produced by the morning shift is smaller.1.9 points QUESTION 42The manager of a package courier service believes that packages shipped at the end of the month are heavier than those shipped early in the month. As an experiment, he weighed a random sample of 20 packages at the beginning of the month. He found that the mean weight was 20.25 pounds and the standard deviation was 5.84 pounds. Ten packages randomly selected at the end of the month had a mean weight of 24.80 pounds and a standard deviation of 5.67 pounds. At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is the alternate hypothesisUe < Ub where e =end of month and b=begining of monthUe > UbUb > UeUb = Ue1.9 points QUESTION 43The manager of a package courier service believes that packages shipped at the end of the month are heavier than those shipped early in the month. As an experiment, he weighed a random sample of 20 packages at the beginning of the month. He found that the mean weight was 20.25 pounds and the standard deviation was 5.84 pounds. Ten packages randomly selected at the end of the month had a mean weight of 24.80 pounds and a standard deviation of 5.67 pounds. At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is your critical value?1.7010.501.6451.961.9 points QUESTION 44The manager of a package courier service believes that packages shipped at the end of the month are heavier than those shipped early in the month. As an experiment, he weighed a random sample of 20 packages at the beginning of the month. He found that the mean weight was 20.25 pounds and the standard deviation was 5.84 pounds. Ten packages randomly selected at the end of the month had a mean weight of 24.80 pounds and a standard deviation of 5.67 pounds. At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is the value of your test statistic?-2.0311.752.03-11.051.9 points QUESTION 45The manager of a package courier service believes that packages shipped at the end of the month are heavier than those shipped early in the month. As an experiment, he weighed a random sample of 20 packages at the beginning of the month. He found that the mean weight was 20.25 pounds and the standard deviation was 5.84 pounds. Ten packages randomly selected at the end of the month had a mean weight of 24.80 pounds and a standard deviation of 5.67 pounds. At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is your decision?reject Hodo not reject Hoindeterminatereject H11.9 points QUESTION 46The manager of a package courier service believes that packages shipped at the end of the month are heavier than those shipped early in the month. As an experiment, he weighed a random sample of 20 packages at the beginning of the month. He found that the mean weight was 20.25 pounds and the standard deviation was 5.84 pounds. Ten packages randomly selected at the end of the month had a mean weight of 24.80 pounds and a standard deviation of 5.67 pounds. At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is your conclusion?There is no evidence of a difference in the mean weightthere is no evidence that the packages shipped at the end of the month weigh morethere is evidence that the packages shipped at the end of the month weigh morethere is evidence that the packages shipped at the end of the month weigh less1.9 points QUESTION 47A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is the alternate hypothesis?Uf does not equal Um, where f=final and m=midtermUf < UmUm > UfUf > Um1.9 points QUESTION 48A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is the critical value?1.963.52.283.14271.9 points QUESTION 49A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is your test statistic?10.579.273.5041.961.9 points QUESTION 50A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is your decision?do not reject Horeject Horeject H1inconclusive1.9 points QUESTION 51A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is your conclusion?There is no difference between the scoresthere is no evidence of a significant improvement on the finalthere is evidence of a significant improvement on the finalstudents scored better on the midterm1.9 points QUESTION 52There are two car dealerships in a particular area. The mean monthly sales at the two dealerships are about the same. However, one of the dealerships (dealership A) is boasting to corporate headquarters that his dealership’s monthly sales are more consistent. An industry analyst reviews the last seven months at dealership A and finds the standard deviation of the seven monthly sales to be 14.79. He reviews the last eight months at dealership B and finds the standard deviation of the eight monthly sales to be 22.95. Using the .01 significance level you will test to conclude if the analyst finds evidence that the boast of dealership A is correct. What will be your critical value?1.1.552.1.353.2.414.8.261.9 points QUESTION 53There are two car dealerships in a particular area. The mean monthly sales at the two dealerships are about the same. However, one of the dealerships (dealership A) is boasting to corporate headquarters that his dealership’s monthly sales are more consistent. An industry analyst reviews the last seven months at dealership A and finds the standard deviation of the seven monthly sales to be 14.79. He reviews the last eight months at dealership B and finds the standard deviation of the eight monthly sales to be 22.95. Using the .01 significance level you will test to see if the analyst finds evidence that the boast of dealership A is correct. What is the value of the test statistic?2.418.261.551.961.9 points QUESTION 54There are two car dealerships in a particular area. The mean monthly sales at the two dealerships are about the same. However, one of the dealerships (dealership A) is boasting to corporate headquarters that his dealership’s monthly sales are more consistent. An industry analyst reviews the last seven months at dealership A and finds the standard deviation of the seven monthly sales to be 14.79. He reviews the last eight months at dealership B and finds the standard deviation of the eight monthly sales to be 22.95. Using the .01 significance level does the analyst find evidence that the boast of dealership A is correct?yesnoindeterminant
PSY 230 Rio Salado Null & Alternative Hypothesis in Statistical Symbols Questions
Two types of medication for hives are being tested. The manufacturer claims that the new medication A is more effective th ...
PSY 230 Rio Salado Null & Alternative Hypothesis in Statistical Symbols Questions
Two types of medication for hives are being tested. The manufacturer claims that the new medication A is more effective than the standard medication B and undertakes a comparison to determine if medication A produces relief for a higher proportion of adult patients within a 40-minute time window. In a random sample of 40 adults given medication A, 34 were symptom-free after 40 minutes. In a random sample of 34 adults given medication B, 28 were symptom-free after 40 minutes. The hypothesis test is to be carried out at a 1% level of significance.1. State the null and alternative hypotheses in words and in statistical symbols.2. What statistical test is appropriate to use? Explain the rationale for your answer.3. Would the test be right-tailed, left-tailed or two-tailed? Explain the rationale for your answer.4. Describe an outcome that would result in a Type II error. Explain the rationale for your answer.5. Describe an outcome that would result in a Type I error. Explain the rationale for your answer.
2 pages
Psy 260 Week 6 Quiz
1. True or false: Statistically, we cannot conclude that the proportions of people who do and do not feel safe walking in ...
Psy 260 Week 6 Quiz
1. True or false: Statistically, we cannot conclude that the proportions of people who do and do not feel safe walking in their neighborhood at night ...
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the ques ...
Week 5: Lab
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below.
Step 1: Your instructor will provide you with 10 values to use for this lab.
Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following:
Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample?
Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values.
Data Example of 10 people with different heights(your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering).Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.
How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random?
What part of the country did your study take place in?
What are the age ranges of your participants?
How many of each gender did you have in your study?
What are other interesting factors about your group?
Step 3: Use the Week 5 Excel spreadsheet for the following.
(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study.
What do these values tell you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.
Step 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".
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