Description
A work shift for an employee at a restaurant consists of 10 hours. What fraction of the employee's work shift is represented by 2 hours?
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Explanation & Answer
10 = 100%
1 = 100/10 = 10%
there fore
2 = 20% is represented by 2 hours.
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MA101 Grantham Week 2 Consumer Math Quiz Help
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quantity business analysis
Please write about 4 pages with MLA format. . Follow the requirement below, and there is a decision tree ppt.and sample es ...
quantity business analysis
Please write about 4 pages with MLA format. . Follow the requirement below, and there is a decision tree ppt.and sample essay was attached for your reference. Thank you very much!!!!Requirement:Based on methods and tools you learned in this course, conduct a project for a realistic application of quantitative analysis to your business or personal decisions. The term paper for this project should include:(1) A one-page description of your problem and its importance (10%).(2) A one-page discussion of the solution procedure and the rationale (10%)(3) One or more pages of presentation of your results (40%)(4) One or more pages of discussion of your insights, critique, and possible expansion for the application (40%).The term paper will be subjectively evaluated by the instructor on the basis of - Originality and relevance of the problem- Clarity and accuracy of the problem formulation- Correctness of the results-Depth of insights from the experience and creativity in the expansion of the application.
I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly th ...
I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly the size of a large bumblebee! Listed below are weights (in grams) from a sample of these bats. Test the claim that these bats come from the same population having a mean weight equal to 1.8 g. Perform a complete analysis: The six step hypothesis test with a conclusion that includes a statistical conclusion, a confidence interval and a scope of inference (as best as can be done with the information above … I could see many correct answers with the vagueness of the description of the sampling mechanism.)Sample: 1.7 1.6 1.5 2.0 2.3 1.6 1.6 1.8 1.5 1.7 2.2 1.4 1.6 1.6 1.6 2.In the United States, it is illegal to discriminate against people based on various attributes. One example is age. An active lawsuit, filed August 30, 2011, in the Las Angeles District Office is a case against the American Samoa Government for systematic age discrimination by preferentially firing older workers. Though the data and details are currently sealed, let’s suppose that a random sample of the ages of fired and not fired people in the American Samoa Government are listed below:Fired34 37 37 38 41 42 43 44 44 45 45 45 46 48 49 53 53 54 54 55 56Not fired27 33 36 37 38 38 39 42 42 43 43 44 44 44 45 45 45 45 46 46 47 47 48 48 49 49 51 51 52 54a.Perform a permutation test to test the claim that there is age discrimination. Provide the Ho and Ha, the pvalue, and full statistical conclusion including the scope. Note: this was an example in Live Session 1. You may start from scratch or use the sample code and powerpoints from Live Session 1. b.Now run a two sample t-test appropriate for this scientific problem (Note: we may not have talked much about a two-sided versus a one-sided test. If you would like to read the discussion on pg 44 (Statistical Sleuth), you can run a one-sided test if it seems appropriate. Otherwise, just run a two-sided test as in class. There are also example in the Statistics Bridge Course). Be sure to include all six steps, a statistical conclusion and scope of inference.c.Compare this p-value to the randomized p-value found in the previous homework.d.The jury wants to see a range of plausible values for the difference in means between the fired and not fired groups. Provide them with a confidence interval for the difference of means and an interpretation.e.Given the sample standard deviations from SAS, calculate by handi.Pooled standard deviation (sp)ii.The standard error of () 3.In the last homework I mentioned I polled my Business Stats class here at SMU and asked them how much money (cash) they had in their pocket at that very moment. The idea was that we wanted to see if there was evidence that those in charge of the vending machines should include the expensive bill / coin acceptor or if it should just have the credit card reader. However, I met a professor from Seattle University last year and asked her to poll her class with the same question. Below are the results of our polls. SMU34, 1200, 23, 50, 60, 50, 0, 0, 30, 89, 0, 300, 400, 20, 10, 0Seattle U20, 10, 5, 0, 30, 50, 0, 100, 110, 0, 40, 10, 3, 0a.Run a two sample t-test to test if the mean amount of pocket cash from students at SMU is different than that of students from Seattle University. Write up a complete analysis: All 6 steps including a statistical conclusion and scope of inference (similar to the one from the powerpoint.) (This should include identifying the Ho and Ha as well as the pvalue.) Also include the appropriate confidence interval.b.Compare the pvalue from this test with the one you found from the permutation test from last week. Provide a short 2 to 3 sentence discussion on your thoughts as to why they are the same or different. 4. a.Calculate the estimate of the pooled standard deviation from the Samoan discrimination problem in question 2 above. Use this estimates to build a power curve. Assume we would like to be able to detect effect sizes between 0.5 and 2 and we would like to calculate the sample size required to have a test that has a power of .8. Simply cut and paste your power curve and SAS code. HINT: Instead of using groupstddevs, use stddev since we are using the pooled estimate. b.Now let’s say that we decided that we may be able to live with slightly less power if it means savings in sample size. Provide the same plot as above but this time calculate curves of sample size (yaxis) vs effect size (.5 to 2) (x axis) for power = 0.8, 0.7 and 0.6. There should be three plots on your final plot. Simply cut and paste your power curve and SAS code. HINT: , use stddev since we are using the pooled estimate. c.Using your last plot, estimate the savings in sample size from a test aimed at detecting an effect size of 0.8 with a power of 80% versus a power of 60%.
MAT 1222 Rasmussen University Algebra Problem Questions
View the slideshow assignment. After completing the review of the slideshow, answer all three parts of the assignment. Rem ...
MAT 1222 Rasmussen University Algebra Problem Questions
View the slideshow assignment. After completing the review of the slideshow, answer all three parts of the assignment. Remember to type and save your assignment as a Microsoft Word document and show all your work.
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
Grantham University Business Statistics Worksheet
Question 1Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. C ...
Grantham University Business Statistics Worksheet
Question 1Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. Colby was in his most recent class, and his class’s mean score on the final exam was 82%. Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population. α = .01.What is the mean score of the population?What is the mean score of the sample?Is this test one-tailed or two-tailed? Why?What is the null hypothesis in this case?If p = 0.29, should Colby reject or fail to reject the null hypothesis?What should Colby’s statement of conclusion be? (This circles back to what is being tested).The next two ask you do to a hypothesis test. Remember, hypothesis tests follow a series of steps. They are not just a computer printout. Make sure if you use a computer printout, you identify which parts of the printout apply to the problem. All of the parts of the printout will NOT apply.Question 2A sample of 22 account balances of a credit company showed a mean customer balance of $4,300, but the marketing manager claimed that the mean balance for the population was $4450. The marketing manager did NOT have the population standard deviation, but the sample standard deviation was found to be $400. Use the p-value approach to conduct a full hypothesis test(all steps) that can be used to determine whether the mean of all account balances is significantly different from $4440. Let α = .05.Question 3A sample of 150 homes for sale in ABC City showed a mean asking price of $233,000, but the city claimed that the mean asking price for the population was $255,000. The population standard deviation of all homes for sale was $11,000. Use the p-value approach to conduct a full hypothesis test (all steps) that can be used to determine whether the mean asking price is significantly less than $255,000. Let α = .10.Question 4During the recent primary elections, the democratic presidential candidate showed the following pre-election voter support in Alabama and Mississippi.StateVoters Surveyed Voters in favor of Democratic CandidateAlabama710352Mississippi 915480We want to determine whether or not the PROPORTIONS of voters favoring the Democratic candidate were the same in both states. In other words, is the first proportion (p1) the same as (p2)? What formula, from this week’s Notations and Symbols, would be applicable in the hypothesis test? (Notice you are not doing a hypothesis test – you are saying which formula applies).
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MA101 Grantham Week 2 Consumer Math Quiz Help
Choose the one alternative that best completes the statement or answers the question. Solve the Find the trade discount on ...
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quantity business analysis
Please write about 4 pages with MLA format. . Follow the requirement below, and there is a decision tree ppt.and sample es ...
quantity business analysis
Please write about 4 pages with MLA format. . Follow the requirement below, and there is a decision tree ppt.and sample essay was attached for your reference. Thank you very much!!!!Requirement:Based on methods and tools you learned in this course, conduct a project for a realistic application of quantitative analysis to your business or personal decisions. The term paper for this project should include:(1) A one-page description of your problem and its importance (10%).(2) A one-page discussion of the solution procedure and the rationale (10%)(3) One or more pages of presentation of your results (40%)(4) One or more pages of discussion of your insights, critique, and possible expansion for the application (40%).The term paper will be subjectively evaluated by the instructor on the basis of - Originality and relevance of the problem- Clarity and accuracy of the problem formulation- Correctness of the results-Depth of insights from the experience and creativity in the expansion of the application.
I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly th ...
I need solutions to the problems below
1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly the size of a large bumblebee! Listed below are weights (in grams) from a sample of these bats. Test the claim that these bats come from the same population having a mean weight equal to 1.8 g. Perform a complete analysis: The six step hypothesis test with a conclusion that includes a statistical conclusion, a confidence interval and a scope of inference (as best as can be done with the information above … I could see many correct answers with the vagueness of the description of the sampling mechanism.)Sample: 1.7 1.6 1.5 2.0 2.3 1.6 1.6 1.8 1.5 1.7 2.2 1.4 1.6 1.6 1.6 2.In the United States, it is illegal to discriminate against people based on various attributes. One example is age. An active lawsuit, filed August 30, 2011, in the Las Angeles District Office is a case against the American Samoa Government for systematic age discrimination by preferentially firing older workers. Though the data and details are currently sealed, let’s suppose that a random sample of the ages of fired and not fired people in the American Samoa Government are listed below:Fired34 37 37 38 41 42 43 44 44 45 45 45 46 48 49 53 53 54 54 55 56Not fired27 33 36 37 38 38 39 42 42 43 43 44 44 44 45 45 45 45 46 46 47 47 48 48 49 49 51 51 52 54a.Perform a permutation test to test the claim that there is age discrimination. Provide the Ho and Ha, the pvalue, and full statistical conclusion including the scope. Note: this was an example in Live Session 1. You may start from scratch or use the sample code and powerpoints from Live Session 1. b.Now run a two sample t-test appropriate for this scientific problem (Note: we may not have talked much about a two-sided versus a one-sided test. If you would like to read the discussion on pg 44 (Statistical Sleuth), you can run a one-sided test if it seems appropriate. Otherwise, just run a two-sided test as in class. There are also example in the Statistics Bridge Course). Be sure to include all six steps, a statistical conclusion and scope of inference.c.Compare this p-value to the randomized p-value found in the previous homework.d.The jury wants to see a range of plausible values for the difference in means between the fired and not fired groups. Provide them with a confidence interval for the difference of means and an interpretation.e.Given the sample standard deviations from SAS, calculate by handi.Pooled standard deviation (sp)ii.The standard error of () 3.In the last homework I mentioned I polled my Business Stats class here at SMU and asked them how much money (cash) they had in their pocket at that very moment. The idea was that we wanted to see if there was evidence that those in charge of the vending machines should include the expensive bill / coin acceptor or if it should just have the credit card reader. However, I met a professor from Seattle University last year and asked her to poll her class with the same question. Below are the results of our polls. SMU34, 1200, 23, 50, 60, 50, 0, 0, 30, 89, 0, 300, 400, 20, 10, 0Seattle U20, 10, 5, 0, 30, 50, 0, 100, 110, 0, 40, 10, 3, 0a.Run a two sample t-test to test if the mean amount of pocket cash from students at SMU is different than that of students from Seattle University. Write up a complete analysis: All 6 steps including a statistical conclusion and scope of inference (similar to the one from the powerpoint.) (This should include identifying the Ho and Ha as well as the pvalue.) Also include the appropriate confidence interval.b.Compare the pvalue from this test with the one you found from the permutation test from last week. Provide a short 2 to 3 sentence discussion on your thoughts as to why they are the same or different. 4. a.Calculate the estimate of the pooled standard deviation from the Samoan discrimination problem in question 2 above. Use this estimates to build a power curve. Assume we would like to be able to detect effect sizes between 0.5 and 2 and we would like to calculate the sample size required to have a test that has a power of .8. Simply cut and paste your power curve and SAS code. HINT: Instead of using groupstddevs, use stddev since we are using the pooled estimate. b.Now let’s say that we decided that we may be able to live with slightly less power if it means savings in sample size. Provide the same plot as above but this time calculate curves of sample size (yaxis) vs effect size (.5 to 2) (x axis) for power = 0.8, 0.7 and 0.6. There should be three plots on your final plot. Simply cut and paste your power curve and SAS code. HINT: , use stddev since we are using the pooled estimate. c.Using your last plot, estimate the savings in sample size from a test aimed at detecting an effect size of 0.8 with a power of 80% versus a power of 60%.
MAT 1222 Rasmussen University Algebra Problem Questions
View the slideshow assignment. After completing the review of the slideshow, answer all three parts of the assignment. Rem ...
MAT 1222 Rasmussen University Algebra Problem Questions
View the slideshow assignment. After completing the review of the slideshow, answer all three parts of the assignment. Remember to type and save your assignment as a Microsoft Word document and show all your work.
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
Grantham University Business Statistics Worksheet
Question 1Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. C ...
Grantham University Business Statistics Worksheet
Question 1Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. Colby was in his most recent class, and his class’s mean score on the final exam was 82%. Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population. α = .01.What is the mean score of the population?What is the mean score of the sample?Is this test one-tailed or two-tailed? Why?What is the null hypothesis in this case?If p = 0.29, should Colby reject or fail to reject the null hypothesis?What should Colby’s statement of conclusion be? (This circles back to what is being tested).The next two ask you do to a hypothesis test. Remember, hypothesis tests follow a series of steps. They are not just a computer printout. Make sure if you use a computer printout, you identify which parts of the printout apply to the problem. All of the parts of the printout will NOT apply.Question 2A sample of 22 account balances of a credit company showed a mean customer balance of $4,300, but the marketing manager claimed that the mean balance for the population was $4450. The marketing manager did NOT have the population standard deviation, but the sample standard deviation was found to be $400. Use the p-value approach to conduct a full hypothesis test(all steps) that can be used to determine whether the mean of all account balances is significantly different from $4440. Let α = .05.Question 3A sample of 150 homes for sale in ABC City showed a mean asking price of $233,000, but the city claimed that the mean asking price for the population was $255,000. The population standard deviation of all homes for sale was $11,000. Use the p-value approach to conduct a full hypothesis test (all steps) that can be used to determine whether the mean asking price is significantly less than $255,000. Let α = .10.Question 4During the recent primary elections, the democratic presidential candidate showed the following pre-election voter support in Alabama and Mississippi.StateVoters Surveyed Voters in favor of Democratic CandidateAlabama710352Mississippi 915480We want to determine whether or not the PROPORTIONS of voters favoring the Democratic candidate were the same in both states. In other words, is the first proportion (p1) the same as (p2)? What formula, from this week’s Notations and Symbols, would be applicable in the hypothesis test? (Notice you are not doing a hypothesis test – you are saying which formula applies).
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