Description
Find the lengths of all three sides of a right triangle that has perimeter 35 and has a 35 degree angle.
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
The angles are 35 degrees, 55 degrees and 90 degrees.
We know that a/Sin A = b/Sin B = C/sin C = k say
a= k sin 35 degrees
b= k sin 55 degrees
c = k sin 90 degrees
a= k(0.5735)
b= k(0.8191)
c= k
a+b+c = k(2.3928) =35
k = 35/2.3928 =14.6277
a=14.6277* 0.5735 =8.39
b= 14.6277*0.8191 =11.98
c= 14.6277*1 = 14.63
The sides are 8.39, 11.98,14.63
Completion Status:
100%
Review
Review
Anonymous
Very useful material for studying!
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
The purpose of this assignment is to perform association rules analysis to determine whether or not the information generated can be used to address a specific business problem.
The purpose of this assignment is to perform association rules analysis to determine whether or not the information genera ...
The purpose of this assignment is to perform association rules analysis to determine whether or not the information generated can be used to address a specific business problem.
The purpose of this assignment is to perform association rules analysis to determine whether or not the information generated can be used to address a specific business problem.For this assignment, you will use the "Bakery" data set from the Topic Materials. Most data categories are self-explanatory. Clarifying notes are as follows.ReceiptID: Unique receipt ID (note that all items with the same receipt ID were purchased together)Item: Name of the food item that was purchasedA bakery is interested in increasing sales by optimally displaying and arranging its various baked goods and drinks. The bakery would like to know which items are typically purchased together so it can place the correlated items closer together in its display cases. The bakery has randomly selected 1,000 receipts and compiled a list of items that were purchased together for each receipt.As an analyst, you have been asked to examine the data, summarize your findings, and recommend how the bakery can use these findings to strategically arrange its bakery products to increase sales. Use associative rules analysis to explore the various dependencies among purchased items. Use the Apriori method to do the analysis with a minimum antecedent support of 4%, minimum confidence of 70%, and maximum number of antecedents of 5. Analyze and interpret several of the resulting rules. Present your finding in the form of a 250-word executive summary that includes relevant data, charts, and tables, and addresses the following.Question 1: How would you explain the concepts of support, confidence, and lift to an executive who is unfamiliar with association rules analysis? Include the Apriori method output chart when submitting the answer.Question 2: What would you say about the support of the rules derived from the Apriori analysis?Question 3: If both an apple tart and an apple Danish were purchased, how likely is it that an apple croissant is also purchased? Explain your answer.Question 4: Does it make sense for the bakery to place all of its apple-flavored items together in the display or is it better to spread them out in the display? Explain why.Question 5: If the bakery wanted to increase the sales of cherry soda, what cross-promotional offers could it employ? Explain why.General Requirements:Submit the executive summary as Word document.APA format is not required, but solid academic writing is expected.
Statistics Exam 30 questions
1. Say you've obtained a chi-square of 12.56. You have a chi square critical value of 3.481. Based on this information ...
Statistics Exam 30 questions
1. Say you've obtained a chi-square of 12.56. You have a chi square critical value of 3.481. Based on this information, what do you conclude?A) Fail to reject the null hypothesis B) Reject the Null Hypothesis 2. Say you’ve obtained a chi-square of 10.95. You have a chi square critical value of 9.210. Based on this information, what do you conclude?A) Fail to reject the null hypothesis B) Reject the Null Hypothesis 3. For the table below, what would be the chi-square critical value if you were doing a hypothesis test and your significance level was 0.01? Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 A 3.841 B 6.635 C 5.991 D 9.210 4) For the table below, what is the expected frequency for Yes Demoted and Pretty Happy? (Remember that you don't need to do all the expected frequencies to get just one…) General Happiness Total Very Happy Pretty Happy Not Too Happy Were Demoted? Yes 5 12 7 24 No 294 545 99 938 Total 299 557 106 962 7 14 3 543 5. For the table below, what is the expected frequency for No Kids and Yes Counseling for Mental Problems? (Remember that you don’t need to do all the expected frequencies to get just one…) Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 42 16 692 259 6. For the table below, what is the expected frequency for No Demoted and Not too Happy? (Remember that you don't need to do all the expected frequencies to get just one…) General Happiness Total Very Happy Pretty Happy Not Too Happy Were Demoted? Yes 5 12 7 24 No 294 545 99 938 Total 299 557 106 962 7 292 103 543 7. For the table below, what is the expected frequency for No Kids and No Counseling for Mental Problems? (Remember that you don’t need to do all the expected frequencies to get just one…) Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 42 16 692 259 8. In the table below, what is the column marginal for “ever had home broken into = no”? Ever had home broken into? Gender Yes No Total Female 1558 1064 2622 Male 1567 1069 2636 Total 3125 2133 5258 3125 2133 2622 2636 9. For the table below, what is the chi-square? (Remember, you can round to whole numbers for the expected frequency, but leave at least 2 decimal places on for all other chi-square calculations). Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 0.04 0.94 0.36 0.82 10. For the table below, what is the chi-square? (Round this way or the answer will not turn out right: you can round to whole numbers for the expected frequency, but leave at least 2 decimal places on for all other chi-square calculations). Choose the answer that is closest. General Happiness Total Very Happy Pretty Happy Not Too Happy Were Demoted? Yes 5 12 7 24 No 294 545 99 938 Total 299 557 106 962 6.92 2.69 5.96 4.85 11. You've obtained a chi square of 34.56, and it's significant. You want to test how strong the relationship between these two variables is. You have a sample size of 75. You have a table with 2 rows and 4 columns. What's your Cramer's V? 0.46 0.68 0.26 0.53 12. Say you have a phi-coefficient of 0.51. How strong is the relationship between the two variables it tests? Weak Relationship Moderate Relationship Strong Relationship 13. You’ve obtained a chi square of 10.98, and it’s significant. You want to test how strong the relationship between these two variables is. You have a sample size of 50. What’s your phi-coefficient? 0.47 0.56 0.22 0.25 14. You’ve obtained a chi square of 16.52, and it’s significant. You want to test how strong the relationship between these two variables is. You have a sample size of 75. What’s your phi-coefficient? 0.47 0.22 0.69 0.18 15. Is the interpretation of the following regression line correct?Regression line: y ⏜ = 20.5 + 1.4 ( x ) Interpretation: For every one unit increase in y, there is a 1.4 increase in x. True False 16. Is the interpretation of the following regression line correct?Regression line: y ⏜ = 0.89 + 2.3 ( x ) Interpretation: For every one unit increase in y, there is a 0.89 increase in x. True False 17. Is the interpretation of the following regression line correct?Regression line: y ⏜ = 0.5 − 1.7 ( x ) " style="max-width: 694px;" rel="max-width: 694px;"> y ⏜ = 0.5 − 1.7 ( x ) Interpretation: For every one unit increase in x, there is a 1.7 decrease in y. True False 18. What type of relationship, positive or negative, is portrayed in the following sentence? When crime worsens, individuals' willingness to help their neighborhoods decreases. Positive Negative 19. What type of relationship, positive or negative, is portrayed in the following sentence? The statistical relationship shows that when foreclosure rates increase, crime worsens. Positive Negative 20. Find the correlation between the two following variables: % of people in neighborhood on welfare and the number of people who have police contact. x y 40 9 59 25 20 3 15 10 0.832 0.895 0.790 0.867 21. What is the strength of the following correlation? 0.156 Weak Moderate Strong 22. What is the strength of the following correlation? 0.451 Weak Moderate Strong 23. A friend of yours suggests that at least 10% of people at your university have had something stolen from them on campus in the past year. This is your population value. You take a random sample of 100 people in you classes to determine if your friend is correct, you think that they may be wrong. You find that 15% of them have had something stolen. Would you use z or t to test this hypothesis? Z Distribution T Distribution 24. A friend of yours suggests that at least 10% of people at your university have had something stolen from them on campus in the past year. This is your population value. You take a random sample of 100 people in you classes to determine if your friend is correct, you think that they may be wrong. You find that 15% of them have had something stolen. Would you have a one or two tailed test? One tailed Two Tailed 25. A friend of yours suggests that at least 10% of people at your university have had something stolen from them on campus in the past year. This is your population value. You take a random sample of 100 people in you classes to determine if your friend is correct. You find that 15% of them have had something stolen. What is the value of your test statistic? 1.667 2.112 1.521 1.231 26. What are the age differences among teens that report being delinquent (or not)? Conduct a two mean hypothesis test to ascertain whether there is an age difference between teens who report being delinquent and teens that report no delinquency. Use a significance level of α = 0.05 and the information below. No Delinquency Delinquent n = 21 n = 5 s1 = 0.6 s2 = 1.6 x1 = 13 x2 = 17 Would the alternative hypothesis for this test be directional or non-directional? Directional, greater than Directional, less than Non-Directional 27. Let’s say we believe that desk-officers and patrol-officers spend different get differing numbers of overtime hours because of their different assignments. We take a small sample of each group to determine if they are truly different. Conduct a two mean hypothesis test to ascertain whether there is a difference between desk-officers and patrol-officers regarding overtime. Use a significance level of α = 0.01 and the information below. Desk Officers Patrol Officers n = 4 n = 7 s1 = 2.9 s2 = 2.0 x ¯ 1 = 3 x ¯ 2 = 5 What do you conclude? Reject H0 Fail to Reject H0 28. Let’s say we believe that desk-officers and patrol-officers spend different get differing numbers of overtime hours because of their different assignments. We take a small sample of each group to determine if they are truly different. Conduct a two mean hypothesis test to ascertain whether there is a difference between desk-officers and patrol-officers regarding overtime. Use a significance level of α = 0.01 and the information below. Desk Officers Patrol Officers n = 4 n = 7 s1 = 2.9 s2 = 2.0 What is your critical value(s) for this test? ± 2.056 ± 2.365 ± 3.250 ± 2.831 29. Let’s say we believe that desk-officers and patrol-officers spend different get differing numbers of overtime hours because of their different assignments. We take a small sample of each group to determine if they are truly different. Conduct a two mean hypothesis test to ascertain whether there is a difference between desk-officers and patrol-officers regarding overtime. Use a significance level of α = 0.01 and the information below. Desk Officers Patrol Officers n = 4 n = 7 s1 = 2.9 s2 = 2.0 What is the degrees of freedom for this test? 9 11 8 6 30. What are the age differences among teens that report being delinquent (or not)? Conduct a two mean hypothesis test to ascertain whether there is an age difference between teens who report being delinquent and teens that report no delinquency. Use a significance level of α = 0.05 and the information below. No Delinquency Delinquent n = 21 n = 5 s1 = 0.6 s2 = 1.6 What is your obtained t? - 10.211 8.722 -9.430 -16.11
3 pages
Unit Vii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine tha ...
Unit Vii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine that you are a high school ...
"Confidence Interval"
Note: Online students, please select one of the two subjects to discuss.Use the Internet or Strayer Library (https://resea ...
"Confidence Interval"
Note: Online students, please select one of the two subjects to discuss.Use the Internet or Strayer Library (https://research.strayer.edu) to research articles on confidence interval and its application in business. Select one (1) company or organization which utilized confidence interval technique to measure its performance parameters (e.g., mean, variance, mean differences between two processes, etc.). Give your opinion as to whether or not the utilization of such a technique improves business process for the company or organization that you selected. Justify your response.Select one (1) project from your working or educational environment in which you would use the confidence interval technique for the process. Next, speculate on one to two (1-2) challenges of utilizing such a technique in the process and suggest your strategy to mitigate the challenges in question. Please respond to peer posting: In a given distribution confidence intervals is the probability that a parameter will fall between the upper and lower bounds. The intervals are used to know uncertainties in predictions hence a business can measure its performance (Hoerl & Snee, 2012). When manufacturing iPods, Apple has applied the technique to predict the performance of this process. To determine the reliability of iPods and the effectiveness of the production process used, the company utilized confidence intervals. Using 200 employees as sample population, they tested the dependability of the devices and only two of the devices broke down in a span of one month.Their aim was to determine how many of the iPods would break if they were released to the public at the time of the first production. In an unknown population p, 2/200 is equal to the confidence interval of the population and the proportion chosen (about 1% of p) calculated this interval. With a 95% confidence interval, the company was secure to sell the devices. Nolan, Mitchell and Doyle-Baker 2014 note that the high percentage was a clear indication of the relationship of the breakage in the public. It is challenging for a company to determine the success of its products in the market. Therefore, this technique helps to determine the unknown factor which can help organizations make decisions on their products and operations.ReferencesHoerl, R. & Snee, R. D. (2012). Statistical Thinking: Improving Business Performance, 2nd Edition. [Strayer University Bookshelf]. Retrieved from https://strayer.vitalsource.com/#/books/9781118236...Nolan, M., Mitchell, J. R., & Doyle-Baker, P. K. (2014). Validity of the Apple iPhone®/iPod Touch® as an accelerometer-based physical activity monitor: a proof-of-concept study. Journal of physical activity & health, 11(4).
MAT 380 Grand Canyon Week 3 Exponential and Polynomial Function Questions
Hello My project guideline is in the paper that I load. Please read and follow the instruction and this project has a rubr ...
MAT 380 Grand Canyon Week 3 Exponential and Polynomial Function Questions
Hello My project guideline is in the paper that I load. Please read and follow the instruction and this project has a rubric. Please type the project with a word program.Thanks
Similar Content
MATH 125 UIC Compute the Linear Programming Problems Algebra Questions
please work on it properly show all the step so I can understand it more clearly. Please upload the work as soon as possib...
Integral Equation with Matlab Codes Report
...
CUNY Bronx Community College Chain Rule & Partial Derivatives Questions
9.In(3x + 2y), x-ssin 1, y = cos s
10.-√√xe", x-1 +st, y-s²-²
11.-e' cos 0, -st. 0-√√²+1²
12. tan(/). u-2s +3t...
California University Research Methods & Experimental Design Problems
Research Methods & Experimental Design
Instructions
You should have:
Your laptop with R and RStudio installed.
Access to I...
MAT 240 Reading Area Community College Null Hypothesis Questions
WRITING TEMPLATE
Research Question One: Are there differences in the average agreement with gay
individuals having the ri...
During the global recession of 2008 and 2009, statistics homework help
During the global recession of 2008 and 2009, there were many accusations of unethical behavior by Wall Street executives,...
Camscanner 11 13 2020 01.25
...
Carl Gau.edited
Carl Friedrich Gauss was a German mathematician who made significant contributions to a wide range of fields, including nu...
Copy Of 20161021085712inss 220 Class Project Confidence Interval 1 2 1
Dominick Aldo owns and operates Carolina’s which is an Italian restaurant in New York. The data below indicate th...
Related Tags
Book Guides
The Great Gatsby
by Francis Scott Key Fitzgerald
Girl in Translation
by Jean Kwok
Death Of A Salesmen
by Arthur Miller
Siddhartha
by Hermann Hesse
The Mayor of Casterbridge
by Thomas Hardy
The Joy Luck Club
by Amy Tan
The Age Of Light
by Whitney Scharer
Orphan Train
by Christina Baker Kline
The Point of it All - A Lifetime of Great Loves and Endeavors
by Charles Krauthammer
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
The purpose of this assignment is to perform association rules analysis to determine whether or not the information generated can be used to address a specific business problem.
The purpose of this assignment is to perform association rules analysis to determine whether or not the information genera ...
The purpose of this assignment is to perform association rules analysis to determine whether or not the information generated can be used to address a specific business problem.
The purpose of this assignment is to perform association rules analysis to determine whether or not the information generated can be used to address a specific business problem.For this assignment, you will use the "Bakery" data set from the Topic Materials. Most data categories are self-explanatory. Clarifying notes are as follows.ReceiptID: Unique receipt ID (note that all items with the same receipt ID were purchased together)Item: Name of the food item that was purchasedA bakery is interested in increasing sales by optimally displaying and arranging its various baked goods and drinks. The bakery would like to know which items are typically purchased together so it can place the correlated items closer together in its display cases. The bakery has randomly selected 1,000 receipts and compiled a list of items that were purchased together for each receipt.As an analyst, you have been asked to examine the data, summarize your findings, and recommend how the bakery can use these findings to strategically arrange its bakery products to increase sales. Use associative rules analysis to explore the various dependencies among purchased items. Use the Apriori method to do the analysis with a minimum antecedent support of 4%, minimum confidence of 70%, and maximum number of antecedents of 5. Analyze and interpret several of the resulting rules. Present your finding in the form of a 250-word executive summary that includes relevant data, charts, and tables, and addresses the following.Question 1: How would you explain the concepts of support, confidence, and lift to an executive who is unfamiliar with association rules analysis? Include the Apriori method output chart when submitting the answer.Question 2: What would you say about the support of the rules derived from the Apriori analysis?Question 3: If both an apple tart and an apple Danish were purchased, how likely is it that an apple croissant is also purchased? Explain your answer.Question 4: Does it make sense for the bakery to place all of its apple-flavored items together in the display or is it better to spread them out in the display? Explain why.Question 5: If the bakery wanted to increase the sales of cherry soda, what cross-promotional offers could it employ? Explain why.General Requirements:Submit the executive summary as Word document.APA format is not required, but solid academic writing is expected.
Statistics Exam 30 questions
1. Say you've obtained a chi-square of 12.56. You have a chi square critical value of 3.481. Based on this information ...
Statistics Exam 30 questions
1. Say you've obtained a chi-square of 12.56. You have a chi square critical value of 3.481. Based on this information, what do you conclude?A) Fail to reject the null hypothesis B) Reject the Null Hypothesis 2. Say you’ve obtained a chi-square of 10.95. You have a chi square critical value of 9.210. Based on this information, what do you conclude?A) Fail to reject the null hypothesis B) Reject the Null Hypothesis 3. For the table below, what would be the chi-square critical value if you were doing a hypothesis test and your significance level was 0.01? Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 A 3.841 B 6.635 C 5.991 D 9.210 4) For the table below, what is the expected frequency for Yes Demoted and Pretty Happy? (Remember that you don't need to do all the expected frequencies to get just one…) General Happiness Total Very Happy Pretty Happy Not Too Happy Were Demoted? Yes 5 12 7 24 No 294 545 99 938 Total 299 557 106 962 7 14 3 543 5. For the table below, what is the expected frequency for No Kids and Yes Counseling for Mental Problems? (Remember that you don’t need to do all the expected frequencies to get just one…) Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 42 16 692 259 6. For the table below, what is the expected frequency for No Demoted and Not too Happy? (Remember that you don't need to do all the expected frequencies to get just one…) General Happiness Total Very Happy Pretty Happy Not Too Happy Were Demoted? Yes 5 12 7 24 No 294 545 99 938 Total 299 557 106 962 7 292 103 543 7. For the table below, what is the expected frequency for No Kids and No Counseling for Mental Problems? (Remember that you don’t need to do all the expected frequencies to get just one…) Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 42 16 692 259 8. In the table below, what is the column marginal for “ever had home broken into = no”? Ever had home broken into? Gender Yes No Total Female 1558 1064 2622 Male 1567 1069 2636 Total 3125 2133 5258 3125 2133 2622 2636 9. For the table below, what is the chi-square? (Remember, you can round to whole numbers for the expected frequency, but leave at least 2 decimal places on for all other chi-square calculations). Counseling for Mental Problems Total Yes No Do you have Kids? Yes 39 695 734 No 19 256 275 Total 58 951 1009 0.04 0.94 0.36 0.82 10. For the table below, what is the chi-square? (Round this way or the answer will not turn out right: you can round to whole numbers for the expected frequency, but leave at least 2 decimal places on for all other chi-square calculations). Choose the answer that is closest. General Happiness Total Very Happy Pretty Happy Not Too Happy Were Demoted? Yes 5 12 7 24 No 294 545 99 938 Total 299 557 106 962 6.92 2.69 5.96 4.85 11. You've obtained a chi square of 34.56, and it's significant. You want to test how strong the relationship between these two variables is. You have a sample size of 75. You have a table with 2 rows and 4 columns. What's your Cramer's V? 0.46 0.68 0.26 0.53 12. Say you have a phi-coefficient of 0.51. How strong is the relationship between the two variables it tests? Weak Relationship Moderate Relationship Strong Relationship 13. You’ve obtained a chi square of 10.98, and it’s significant. You want to test how strong the relationship between these two variables is. You have a sample size of 50. What’s your phi-coefficient? 0.47 0.56 0.22 0.25 14. You’ve obtained a chi square of 16.52, and it’s significant. You want to test how strong the relationship between these two variables is. You have a sample size of 75. What’s your phi-coefficient? 0.47 0.22 0.69 0.18 15. Is the interpretation of the following regression line correct?Regression line: y ⏜ = 20.5 + 1.4 ( x ) Interpretation: For every one unit increase in y, there is a 1.4 increase in x. True False 16. Is the interpretation of the following regression line correct?Regression line: y ⏜ = 0.89 + 2.3 ( x ) Interpretation: For every one unit increase in y, there is a 0.89 increase in x. True False 17. Is the interpretation of the following regression line correct?Regression line: y ⏜ = 0.5 − 1.7 ( x ) " style="max-width: 694px;" rel="max-width: 694px;"> y ⏜ = 0.5 − 1.7 ( x ) Interpretation: For every one unit increase in x, there is a 1.7 decrease in y. True False 18. What type of relationship, positive or negative, is portrayed in the following sentence? When crime worsens, individuals' willingness to help their neighborhoods decreases. Positive Negative 19. What type of relationship, positive or negative, is portrayed in the following sentence? The statistical relationship shows that when foreclosure rates increase, crime worsens. Positive Negative 20. Find the correlation between the two following variables: % of people in neighborhood on welfare and the number of people who have police contact. x y 40 9 59 25 20 3 15 10 0.832 0.895 0.790 0.867 21. What is the strength of the following correlation? 0.156 Weak Moderate Strong 22. What is the strength of the following correlation? 0.451 Weak Moderate Strong 23. A friend of yours suggests that at least 10% of people at your university have had something stolen from them on campus in the past year. This is your population value. You take a random sample of 100 people in you classes to determine if your friend is correct, you think that they may be wrong. You find that 15% of them have had something stolen. Would you use z or t to test this hypothesis? Z Distribution T Distribution 24. A friend of yours suggests that at least 10% of people at your university have had something stolen from them on campus in the past year. This is your population value. You take a random sample of 100 people in you classes to determine if your friend is correct, you think that they may be wrong. You find that 15% of them have had something stolen. Would you have a one or two tailed test? One tailed Two Tailed 25. A friend of yours suggests that at least 10% of people at your university have had something stolen from them on campus in the past year. This is your population value. You take a random sample of 100 people in you classes to determine if your friend is correct. You find that 15% of them have had something stolen. What is the value of your test statistic? 1.667 2.112 1.521 1.231 26. What are the age differences among teens that report being delinquent (or not)? Conduct a two mean hypothesis test to ascertain whether there is an age difference between teens who report being delinquent and teens that report no delinquency. Use a significance level of α = 0.05 and the information below. No Delinquency Delinquent n = 21 n = 5 s1 = 0.6 s2 = 1.6 x1 = 13 x2 = 17 Would the alternative hypothesis for this test be directional or non-directional? Directional, greater than Directional, less than Non-Directional 27. Let’s say we believe that desk-officers and patrol-officers spend different get differing numbers of overtime hours because of their different assignments. We take a small sample of each group to determine if they are truly different. Conduct a two mean hypothesis test to ascertain whether there is a difference between desk-officers and patrol-officers regarding overtime. Use a significance level of α = 0.01 and the information below. Desk Officers Patrol Officers n = 4 n = 7 s1 = 2.9 s2 = 2.0 x ¯ 1 = 3 x ¯ 2 = 5 What do you conclude? Reject H0 Fail to Reject H0 28. Let’s say we believe that desk-officers and patrol-officers spend different get differing numbers of overtime hours because of their different assignments. We take a small sample of each group to determine if they are truly different. Conduct a two mean hypothesis test to ascertain whether there is a difference between desk-officers and patrol-officers regarding overtime. Use a significance level of α = 0.01 and the information below. Desk Officers Patrol Officers n = 4 n = 7 s1 = 2.9 s2 = 2.0 What is your critical value(s) for this test? ± 2.056 ± 2.365 ± 3.250 ± 2.831 29. Let’s say we believe that desk-officers and patrol-officers spend different get differing numbers of overtime hours because of their different assignments. We take a small sample of each group to determine if they are truly different. Conduct a two mean hypothesis test to ascertain whether there is a difference between desk-officers and patrol-officers regarding overtime. Use a significance level of α = 0.01 and the information below. Desk Officers Patrol Officers n = 4 n = 7 s1 = 2.9 s2 = 2.0 What is the degrees of freedom for this test? 9 11 8 6 30. What are the age differences among teens that report being delinquent (or not)? Conduct a two mean hypothesis test to ascertain whether there is an age difference between teens who report being delinquent and teens that report no delinquency. Use a significance level of α = 0.05 and the information below. No Delinquency Delinquent n = 21 n = 5 s1 = 0.6 s2 = 1.6 What is your obtained t? - 10.211 8.722 -9.430 -16.11
3 pages
Unit Vii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine tha ...
Unit Vii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine that you are a high school ...
"Confidence Interval"
Note: Online students, please select one of the two subjects to discuss.Use the Internet or Strayer Library (https://resea ...
"Confidence Interval"
Note: Online students, please select one of the two subjects to discuss.Use the Internet or Strayer Library (https://research.strayer.edu) to research articles on confidence interval and its application in business. Select one (1) company or organization which utilized confidence interval technique to measure its performance parameters (e.g., mean, variance, mean differences between two processes, etc.). Give your opinion as to whether or not the utilization of such a technique improves business process for the company or organization that you selected. Justify your response.Select one (1) project from your working or educational environment in which you would use the confidence interval technique for the process. Next, speculate on one to two (1-2) challenges of utilizing such a technique in the process and suggest your strategy to mitigate the challenges in question. Please respond to peer posting: In a given distribution confidence intervals is the probability that a parameter will fall between the upper and lower bounds. The intervals are used to know uncertainties in predictions hence a business can measure its performance (Hoerl & Snee, 2012). When manufacturing iPods, Apple has applied the technique to predict the performance of this process. To determine the reliability of iPods and the effectiveness of the production process used, the company utilized confidence intervals. Using 200 employees as sample population, they tested the dependability of the devices and only two of the devices broke down in a span of one month.Their aim was to determine how many of the iPods would break if they were released to the public at the time of the first production. In an unknown population p, 2/200 is equal to the confidence interval of the population and the proportion chosen (about 1% of p) calculated this interval. With a 95% confidence interval, the company was secure to sell the devices. Nolan, Mitchell and Doyle-Baker 2014 note that the high percentage was a clear indication of the relationship of the breakage in the public. It is challenging for a company to determine the success of its products in the market. Therefore, this technique helps to determine the unknown factor which can help organizations make decisions on their products and operations.ReferencesHoerl, R. & Snee, R. D. (2012). Statistical Thinking: Improving Business Performance, 2nd Edition. [Strayer University Bookshelf]. Retrieved from https://strayer.vitalsource.com/#/books/9781118236...Nolan, M., Mitchell, J. R., & Doyle-Baker, P. K. (2014). Validity of the Apple iPhone®/iPod Touch® as an accelerometer-based physical activity monitor: a proof-of-concept study. Journal of physical activity & health, 11(4).
MAT 380 Grand Canyon Week 3 Exponential and Polynomial Function Questions
Hello My project guideline is in the paper that I load. Please read and follow the instruction and this project has a rubr ...
MAT 380 Grand Canyon Week 3 Exponential and Polynomial Function Questions
Hello My project guideline is in the paper that I load. Please read and follow the instruction and this project has a rubric. Please type the project with a word program.Thanks
Earn money selling
your Study Documents