Description
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
do 4x^2 divided by 2x1/2 and you get 2x^3/2
best my answer
Completion Status:
100%
Review
Review
Anonymous
I was having a hard time with this subject, and this was a great help.
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
QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with ...
QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with seasonal indices.d. None of the above.5. In #3, which of the following is most appropriate regarding sales? (4)a. We should use all of the data in our model.b. We should use only periods 5-16 in our model.c. We should use only periods 9-16 in our model.d. We should use only periods 13-16 in our model.e. We should use only periods 1-12 in our model.6. Refer to the Excel output on the final pages. Here, we are tracking the number of orders placed by week for a 20-week period. The first set of output is for an exponential smoothing model with α = 0.25. The second set of output is for a regression. Which of the following is most appropriate? (3)a. The exponential smoothing model is most appropriate.b. The regression is most appropriate.c. Another model would be more appropriate.
the description of the RSA project
We will start with the plaintext string'hi mom123456,Instructions - Use Wolfram Alpha to perform all calculations.We will ...
the description of the RSA project
We will start with the plaintext string'hi mom123456,Instructions - Use Wolfram Alpha to perform all calculations.We will use the standard ASCII alphabet for the project with a six-character blocking value. I will show you how to use the alphabet in Wolfram Alpha.Use the following prime numbers for all your encryption/decryption workp = 15485887 and q = 179424691Use e = 179 for your encryption exponent.Your task is to first encrypt and then decrypt the plaintext message given above.You will need to compute and display the following:N, the product of the given prime numbers.phi(N)=the Euler phi function value.d =your decryption exponent.The plaintext message converted to integers using the required six-character blocking value.The encrypted integer string.The decrypted integer string.The decrypted plaintext string to confirm your work is correct.Your report should include a written description of all the steps you took to complete both the encryption process and the decryption process including Wolfram Alpha screen shots showing all your calculations.here is the youtube linkhttps://youtu.be/Cf2LlptNZbY
CCN Statistics Hypothesis Testing Worksheet
Hypothesis Testing is the use of statistics to determine the probability that a given claim is true. In Part II of this pr ...
CCN Statistics Hypothesis Testing Worksheet
Hypothesis Testing is the use of statistics to determine the probability that a given claim is true. In Part II of this project, your professor will provide you with a data set and you will review claims and perform hypothesis testing to make a decision. You will then complete a write-up that includes the calculations. The government logs the number of documented births, deaths, marriages and divorces however it is possible to have undocumented cases. In part II of this project, you are going to test claims about total births, deaths, marriages and divorces. Your professor will provide you with the Births, Marriage, Divorce and Death data. Email your professor at the beginning of Week 7 if you did not receive the data for Course Project Part II.Preliminary Calculations. Please complete the worksheet.Project Part II Worksheet (Links to an external site.)Complete the summary table for 1. Live Births, 2. Deaths, 3. Marriages, and 4. Divorces highlighting the mean, median, sample/population standard deviation, n = number of states that submitted data for each the data sets. Summary Table for _________Mean Median Standard Deviation n (Number of States who submitted Data) Hypothesis TestingWith the information that you gather from the summary tables, test the following (you can use excel when appropriate):Determine if there is sufficient evidence to conclude the average amount of births is over 5000 in the United States and territories at the 0.05 level of significance.Determine if there is sufficient evidence to conclude the average amount of deaths is equal to 6000 in the United States and territories at the 0.10 level of significance.Determine if there is sufficient evidence to conclude the average amount of marriages is greater or equal to 2500 in the United States and territories at the .05 level of significance.Determine if there is sufficient evidence to conclude the average amount of divorces is less than or equal to 4000 in the United States and territories at the 0.10 level of significance.For each of the tests above, in your report, be sure to—Clearly state a null and alternative hypothesisGive the value of the test statisticReport the P-ValueClearly state your conclusion (Reject the Null or Fail to Reject the Null)Explain what your conclusion means in context of the data.4. Make your OWN Claim (You are completing ONE more Hypothesis Test)Lastly, propose and conduct your own test of hypothesis.a) Pick one data set: Births, Deaths, Marriages OR Divorces.b) Write a claim about the data set.c) For your claim—Clearly state a null and alternative hypothesisGive the value of the test statisticReport the P-ValueClearly state your conclusion (Reject the Null or Fail to Reject the Null)Explain what your conclusion means in context of the data.attached is the worksheet and data for part 2 in excel and then the part two is under the work u already done for me
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix ...
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix operation normally spend an average of 6.3 days in the hospital. The distribution of recovery times is normal with a σ = 2.2 days. The hospital is trying a new recovery program designed to lessen the time patients spend in the hospital. The first 25 appendix patients in this new program were released from the hospital in an average of 5.5 days. On the basis of these data, can the hospital conclude that the new program has a significant reduction of recovery time. Test at the .01 level of significance. Q1: The appropriate statistical procedure for this example would be a A.z-test B.t-test Q2: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q3: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program.Q4: The most appropriate null hypothesis (in symbols) would be A.μnew program = 6.3 B.μnew program = 5.5 C.μnew program 6.3 D.μnew program 6.3 Q5: Set up the criteria for making a decision. That is, find the critical value using an alpha = .01. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q6: What is the numeric value of your standard error? Q7: What is the z-value or t-value you obtained (your test statistic)? Q8: Based on your results (and comparing your Q7 and Q5 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q9: The best conclusion for this example would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. Q10: Based on your evaluation of the null in Q8 and your conclusion is Q9, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q11: The mean you will use for this calculation is A. 5.5 B. 6.3 Q12: What is the new critical value you will use for this calculation? Q13: As you know, two values will be required to complete the following equation: __________ __________ The following 4 questions (Q14 to Q17) are based on the following situation: If α = .10, and β = .30, complete the following questions by inserting the appropriate probability of each. Q14: The statistical decision is to reject the null, and H0 is really true (ie: a Type I error) Q15: The statistical decision is to fail to reject null, and H0 is really true (ie: a correct decision) Q16: The statistical decision is to reject the null, and H0 is really false (ie: Power) Q17: The statistical decision is to fail to reject the null, and H0 is really false (ie a Type II error) The following 14 questions (Q18 to Q31) are based on the following example: A researcher wants to determine whether high school students who attend an SAT preparation course score significantly different on the SAT than students who do not attend the preparation course. For those who do not attend the course, the population mean is 1050 (μ = 1050). The 16 students who attend the preparation course average 1150 on the SAT, with a sample standard deviation of 300. On the basis of these data, can the researcher conclude that the preparation course has a significant difference on SAT scores? Set alpha equal to .05. Q18:The appropriate statistical procedure for this example would be a A.z-test B.t-test Q19: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q20: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q21: The most appropriate null hypothesis (in symbols) would be A. μSATprep = 1050 B.μSATprep = 1150 C.μSATprep 1050 D.μSATprep 1050 Q22: Set up the criteria for making a decision. That is, find the critical value using an alpha = .05. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q23: What is the numeric value of your standard error? Q24: What is the z-value or t-value you obtained (your test statistic)?Q25: Based on your results (and comparing your Q24 and Q22 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q26: The best conclusion for this example would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q27: Based on your evaluation of the null in Q25 and your conclusion is Q26, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q28: The mean you will use for this calculation is A. 1050 B. 1150 Q29: What is the new critical value you will use for this calculation? Q30: As you know, two values will be required to complete the following equation: __________ __________ Q31: Which of the following is a more accurate interpretation of the confidence interval you just computed? We are 99% confident that the scores fall in the interval _____ to _____. We are 99% confident that the average score on the SAT by the students who took the prep course falls in the interval _____ to _____. We are 99% confident that the example above has correct values. We are 99% confident that the difference in SAT scores between the students who took the prep course and the students who did not falls in the interval _____ to _____. The following 2 questions (Q32 to Q33) are based on the following situation: The national average for the verbal section of the Graduate Record Exam (GRE) is 500 with a standard deviation of 100. A researcher uses a sampling distribution made up of samples of 100. Q32: According to the Central Limit Theorem, what is the mean of the sampling distribution of means? A.10 B.50 C.100 D.500 Q33:According to the Central Limit Theorem, what is the standard error of the mean? a. 10b.50 c.100 d.500 Q34:As you increase the number of subjects in your sample, the calculated value of a t-test will A.increase B.decrease C.remain the same Q35:As you decrease the true distance between the null and alternative hypotheses (μ1 – μ0), the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same Q36:Keeping everything else the same, if you were to decrease your alpha level from .05 to .01, the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same The following 4 questions (Q37 to Q40) are either “True” or “False”Q37: The single-most critical component of deciding whether you are to conduct a t-test versus a z-test for hypothesis testing is whether there is a ‘’.Q38: Predicting the characteristics of an entire group, after having measured a small group, is the major goal of inferential statistics. Q39: Degrees of freedom for a single sample z-test is/are ‘n-1’.Q40: Degrees of freedom for a single sample t-test is/are ‘n-1’.
STA 3215 Constructing Confidence Intervals for The Population Mean Worksheet
Scenario (information repeated for deliverable 01, 03, and 04)
A major client of your company is interested in the salary ...
STA 3215 Constructing Confidence Intervals for The Population Mean Worksheet
Scenario (information repeated for deliverable 01, 03, and 04)
A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:
A listing of the jobs by title
The salary (in dollars) for each job
Spreadsheet
You have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals. Background information on the Data
The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.
Similar Content
find the product of
(x - 7y) (2x + 2y)...
University of California Davis Statistics Question
Perform a one-sample hypothesis test in excel based on the given data set. Interpret the findings (any hypothesis is accep...
The slope of a line that is horizontal, such
...
A soft-drink vendor at a popular beach analyzes his sales records and finds that
A soft-drink vendor at a popular beach analyzes his sales records and finds that if he sells x cans of soda pop ...
evaluate ln e^5/2 without using a calculator
evaluate ln e^5/2 without using a calculator. If the answer is not an integer, enter it as a fraction.ln e^5/2=...
CSUS LHospital Rule Integration Techniques and Approximating Integrals Problems
Problem 1. (3 points)
Find the following integrals. You must show your work, and indicate what method you
used.
1.
2.
I
I
...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with ...
QM662 University of Alabama Exponential Smoothing & Seasonal Indices HW
4. In #3, which method (if any) is most appropriate? (4)a. Exponential smoothing.b. Regression.c. Regression with seasonal indices.d. None of the above.5. In #3, which of the following is most appropriate regarding sales? (4)a. We should use all of the data in our model.b. We should use only periods 5-16 in our model.c. We should use only periods 9-16 in our model.d. We should use only periods 13-16 in our model.e. We should use only periods 1-12 in our model.6. Refer to the Excel output on the final pages. Here, we are tracking the number of orders placed by week for a 20-week period. The first set of output is for an exponential smoothing model with α = 0.25. The second set of output is for a regression. Which of the following is most appropriate? (3)a. The exponential smoothing model is most appropriate.b. The regression is most appropriate.c. Another model would be more appropriate.
the description of the RSA project
We will start with the plaintext string'hi mom123456,Instructions - Use Wolfram Alpha to perform all calculations.We will ...
the description of the RSA project
We will start with the plaintext string'hi mom123456,Instructions - Use Wolfram Alpha to perform all calculations.We will use the standard ASCII alphabet for the project with a six-character blocking value. I will show you how to use the alphabet in Wolfram Alpha.Use the following prime numbers for all your encryption/decryption workp = 15485887 and q = 179424691Use e = 179 for your encryption exponent.Your task is to first encrypt and then decrypt the plaintext message given above.You will need to compute and display the following:N, the product of the given prime numbers.phi(N)=the Euler phi function value.d =your decryption exponent.The plaintext message converted to integers using the required six-character blocking value.The encrypted integer string.The decrypted integer string.The decrypted plaintext string to confirm your work is correct.Your report should include a written description of all the steps you took to complete both the encryption process and the decryption process including Wolfram Alpha screen shots showing all your calculations.here is the youtube linkhttps://youtu.be/Cf2LlptNZbY
CCN Statistics Hypothesis Testing Worksheet
Hypothesis Testing is the use of statistics to determine the probability that a given claim is true. In Part II of this pr ...
CCN Statistics Hypothesis Testing Worksheet
Hypothesis Testing is the use of statistics to determine the probability that a given claim is true. In Part II of this project, your professor will provide you with a data set and you will review claims and perform hypothesis testing to make a decision. You will then complete a write-up that includes the calculations. The government logs the number of documented births, deaths, marriages and divorces however it is possible to have undocumented cases. In part II of this project, you are going to test claims about total births, deaths, marriages and divorces. Your professor will provide you with the Births, Marriage, Divorce and Death data. Email your professor at the beginning of Week 7 if you did not receive the data for Course Project Part II.Preliminary Calculations. Please complete the worksheet.Project Part II Worksheet (Links to an external site.)Complete the summary table for 1. Live Births, 2. Deaths, 3. Marriages, and 4. Divorces highlighting the mean, median, sample/population standard deviation, n = number of states that submitted data for each the data sets. Summary Table for _________Mean Median Standard Deviation n (Number of States who submitted Data) Hypothesis TestingWith the information that you gather from the summary tables, test the following (you can use excel when appropriate):Determine if there is sufficient evidence to conclude the average amount of births is over 5000 in the United States and territories at the 0.05 level of significance.Determine if there is sufficient evidence to conclude the average amount of deaths is equal to 6000 in the United States and territories at the 0.10 level of significance.Determine if there is sufficient evidence to conclude the average amount of marriages is greater or equal to 2500 in the United States and territories at the .05 level of significance.Determine if there is sufficient evidence to conclude the average amount of divorces is less than or equal to 4000 in the United States and territories at the 0.10 level of significance.For each of the tests above, in your report, be sure to—Clearly state a null and alternative hypothesisGive the value of the test statisticReport the P-ValueClearly state your conclusion (Reject the Null or Fail to Reject the Null)Explain what your conclusion means in context of the data.4. Make your OWN Claim (You are completing ONE more Hypothesis Test)Lastly, propose and conduct your own test of hypothesis.a) Pick one data set: Births, Deaths, Marriages OR Divorces.b) Write a claim about the data set.c) For your claim—Clearly state a null and alternative hypothesisGive the value of the test statisticReport the P-ValueClearly state your conclusion (Reject the Null or Fail to Reject the Null)Explain what your conclusion means in context of the data.attached is the worksheet and data for part 2 in excel and then the part two is under the work u already done for me
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix ...
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix operation normally spend an average of 6.3 days in the hospital. The distribution of recovery times is normal with a σ = 2.2 days. The hospital is trying a new recovery program designed to lessen the time patients spend in the hospital. The first 25 appendix patients in this new program were released from the hospital in an average of 5.5 days. On the basis of these data, can the hospital conclude that the new program has a significant reduction of recovery time. Test at the .01 level of significance. Q1: The appropriate statistical procedure for this example would be a A.z-test B.t-test Q2: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q3: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program.Q4: The most appropriate null hypothesis (in symbols) would be A.μnew program = 6.3 B.μnew program = 5.5 C.μnew program 6.3 D.μnew program 6.3 Q5: Set up the criteria for making a decision. That is, find the critical value using an alpha = .01. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q6: What is the numeric value of your standard error? Q7: What is the z-value or t-value you obtained (your test statistic)? Q8: Based on your results (and comparing your Q7 and Q5 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q9: The best conclusion for this example would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. Q10: Based on your evaluation of the null in Q8 and your conclusion is Q9, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q11: The mean you will use for this calculation is A. 5.5 B. 6.3 Q12: What is the new critical value you will use for this calculation? Q13: As you know, two values will be required to complete the following equation: __________ __________ The following 4 questions (Q14 to Q17) are based on the following situation: If α = .10, and β = .30, complete the following questions by inserting the appropriate probability of each. Q14: The statistical decision is to reject the null, and H0 is really true (ie: a Type I error) Q15: The statistical decision is to fail to reject null, and H0 is really true (ie: a correct decision) Q16: The statistical decision is to reject the null, and H0 is really false (ie: Power) Q17: The statistical decision is to fail to reject the null, and H0 is really false (ie a Type II error) The following 14 questions (Q18 to Q31) are based on the following example: A researcher wants to determine whether high school students who attend an SAT preparation course score significantly different on the SAT than students who do not attend the preparation course. For those who do not attend the course, the population mean is 1050 (μ = 1050). The 16 students who attend the preparation course average 1150 on the SAT, with a sample standard deviation of 300. On the basis of these data, can the researcher conclude that the preparation course has a significant difference on SAT scores? Set alpha equal to .05. Q18:The appropriate statistical procedure for this example would be a A.z-test B.t-test Q19: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q20: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q21: The most appropriate null hypothesis (in symbols) would be A. μSATprep = 1050 B.μSATprep = 1150 C.μSATprep 1050 D.μSATprep 1050 Q22: Set up the criteria for making a decision. That is, find the critical value using an alpha = .05. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q23: What is the numeric value of your standard error? Q24: What is the z-value or t-value you obtained (your test statistic)?Q25: Based on your results (and comparing your Q24 and Q22 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q26: The best conclusion for this example would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q27: Based on your evaluation of the null in Q25 and your conclusion is Q26, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q28: The mean you will use for this calculation is A. 1050 B. 1150 Q29: What is the new critical value you will use for this calculation? Q30: As you know, two values will be required to complete the following equation: __________ __________ Q31: Which of the following is a more accurate interpretation of the confidence interval you just computed? We are 99% confident that the scores fall in the interval _____ to _____. We are 99% confident that the average score on the SAT by the students who took the prep course falls in the interval _____ to _____. We are 99% confident that the example above has correct values. We are 99% confident that the difference in SAT scores between the students who took the prep course and the students who did not falls in the interval _____ to _____. The following 2 questions (Q32 to Q33) are based on the following situation: The national average for the verbal section of the Graduate Record Exam (GRE) is 500 with a standard deviation of 100. A researcher uses a sampling distribution made up of samples of 100. Q32: According to the Central Limit Theorem, what is the mean of the sampling distribution of means? A.10 B.50 C.100 D.500 Q33:According to the Central Limit Theorem, what is the standard error of the mean? a. 10b.50 c.100 d.500 Q34:As you increase the number of subjects in your sample, the calculated value of a t-test will A.increase B.decrease C.remain the same Q35:As you decrease the true distance between the null and alternative hypotheses (μ1 – μ0), the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same Q36:Keeping everything else the same, if you were to decrease your alpha level from .05 to .01, the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same The following 4 questions (Q37 to Q40) are either “True” or “False”Q37: The single-most critical component of deciding whether you are to conduct a t-test versus a z-test for hypothesis testing is whether there is a ‘’.Q38: Predicting the characteristics of an entire group, after having measured a small group, is the major goal of inferential statistics. Q39: Degrees of freedom for a single sample z-test is/are ‘n-1’.Q40: Degrees of freedom for a single sample t-test is/are ‘n-1’.
STA 3215 Constructing Confidence Intervals for The Population Mean Worksheet
Scenario (information repeated for deliverable 01, 03, and 04)
A major client of your company is interested in the salary ...
STA 3215 Constructing Confidence Intervals for The Population Mean Worksheet
Scenario (information repeated for deliverable 01, 03, and 04)
A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:
A listing of the jobs by title
The salary (in dollars) for each job
Spreadsheet
You have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals. Background information on the Data
The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.
Earn money selling
your Study Documents