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As we can see from the figure, the triangles are congruent because their correspondent lengths are equal. Hence
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QRB/501 Week 4 Individual Assignment, writing homework help
Good morning. I have attached the assignment requirements, the chapters and the excel template this time. Lol. Please let ...
QRB/501 Week 4 Individual Assignment, writing homework help
Good morning. I have attached the assignment requirements, the chapters and the excel template this time. Lol. Please let me know if you need anything else from me as when I print out the chapters the charts and examples are not printing out because as you already know whom ever uploaded the chapter onto the school's site did it wrong so that it why I have some of the stuff handwritten. But please let me know if you need any of the charts or examples and I will either hand write them or do a screenshot of it and send it to you. Thank you
HCAD 640 UMGC Financial Management for Health Care Organizations Questions & MEMO
Instructions Maryland Home and Community-Based Services (MHCBS) is considering a major expansion that will enable it to a ...
HCAD 640 UMGC Financial Management for Health Care Organizations Questions & MEMO
Instructions Maryland Home and Community-Based Services (MHCBS) is considering a major expansion that will enable it to attract a different clientele to its organization. Currently, they serve only 34% of the frail elderly seniors and persons with disabilities in the local area. The new chief CEO would like the organization to expand its revenue stream by investing in a senior multipurpose center serving healthy seniors by offering them arts and crafts and health and wellness programs. The center will also contain an Internet café offering nutritious breakfast and lunch options. The CEO has commissioned a needs assessment, and the study’s results reveal that there are approximately 120 seniors in the local community who are interested in this center and the CEO expects growth of the aging population to be at least 10% each year. Cost growth across all areas of expense is expected to rise by 5% each year. The CEO has presented her proposal and financial information to the Board of Directors, and they have advised her that they are in full support of her strategy only if the program is a benefit to the community and if the organization can recoup its investment in five years. The CEO has asked you if this can be achieved.Based on the information presented in the scenario, calculate the two analyses and explain, in a brief memorandum to the CEO, their implications. Service Line Break Even Analysis Memo The proposed costs to operate this new facility are as follows: Expected Monthly Revenue (Membership Fee): $125 per person Monthly Fixed Costs Utilities: $590 Health/Wellness Staff: $2,500 Arts/Crafts Staff: $2,000 Supplies: $800 Fitness Equipment Maintenance Contract: $200 Variable Costs Monthly Lunch Cost: $25 Monthly Breakfast Cost: $15 Based on the information above, once the minimum threshold of participants is reached, the initial investment to establish the center is $317,880. The organization anticipates that it will generate $46,920 of net revenues in the first year, $68,166 in the second year, $93,404 in the third year, $123,287 in the fourth year, and $158,573 in the fifth year. Perform the break-even analysis to determine how many seniors would need to have a full monthly membership for UMGC Home and Community-Based Services to cover its monthly expenses. Calculate the payback period to determine how long it will take for the organization to recover its initial investment of establishing the senior multipurpose center.
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
Purdue University Unit 5 Distribution of Penny Business Statistics Discussion
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. F ...
Purdue University Unit 5 Distribution of Penny Business Statistics Discussion
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. For many of the variables, you assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge – if the population is not normal, can you make any inferences about that population from your random samples?As a class last unit, you have created a population of the ages of pennies. Your instructor will share this Penny Population document with you as an Excel file, that will include the histogram, mean, and standard deviation of this population of penny ages. Your instructor will also share a link to the Sampling Form to be used in step 5. See Example and DB starter video in Unit 5 LiveBinder.Main Post:1) Describe the distribution shape of the population of penny ages (i.e., left skewed, symmetric, right skewed).2) On your copy of the Penny Population document, randomly select 5 penny ages from this population. Calculate the mean of this Nickel Sample (sample size n = 5). How does this compare to the population mean?3) On your copy of the Penny Population document, randomly select 10 penny ages from this population. Calculate the mean of this Dime Sample (sample size n = 10). How does this compare to the population mean?4) On your copy of the Penny Population document, randomly select 25 penny ages from this population. Calculate the mean of this Quarter Sample (sample size n = 25). How does this compare to the population mean?5) Enter your Nickel Sample mean, Dime Sample mean, and Quarter Sample mean in the Sampling Form sent by your instructor. It will generate a histogram of the class means for each sample (Nickel Samples, Dime Samples, and Quarter Samples).6) Copy and paste the class histograms as they look so far for others to review in the discussion.Peer Reply #1: Review a classmate’s post. Respond to them as a friend. In a few sentences, explain to them what the Central Limit Theorem says referencing the mean for their Nickel Sample, Dime Sample, and Quarter Sample. See Example.Peer Reply #2: Review another classmates’ post. Respond to them as a friend. What do you notice about the shape of the histograms for the Nickel samples, Dime samples, and Quarter samples. Do any of their histograms look normal? What can you infer about a Half Dollar Sample (sample size n = 50)? See Example.Activity based on R.L. Schaeffer et al., Activity-Based Statistics
Statistics Data Analysis SPSS Reports
Hi,I need correct answers for all the questions in the attached assignments. All the instructions are in the word file. Th ...
Statistics Data Analysis SPSS Reports
Hi,I need correct answers for all the questions in the attached assignments. All the instructions are in the word file. Thanks :)
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QRB/501 Week 4 Individual Assignment, writing homework help
Good morning. I have attached the assignment requirements, the chapters and the excel template this time. Lol. Please let ...
QRB/501 Week 4 Individual Assignment, writing homework help
Good morning. I have attached the assignment requirements, the chapters and the excel template this time. Lol. Please let me know if you need anything else from me as when I print out the chapters the charts and examples are not printing out because as you already know whom ever uploaded the chapter onto the school's site did it wrong so that it why I have some of the stuff handwritten. But please let me know if you need any of the charts or examples and I will either hand write them or do a screenshot of it and send it to you. Thank you
HCAD 640 UMGC Financial Management for Health Care Organizations Questions & MEMO
Instructions Maryland Home and Community-Based Services (MHCBS) is considering a major expansion that will enable it to a ...
HCAD 640 UMGC Financial Management for Health Care Organizations Questions & MEMO
Instructions Maryland Home and Community-Based Services (MHCBS) is considering a major expansion that will enable it to attract a different clientele to its organization. Currently, they serve only 34% of the frail elderly seniors and persons with disabilities in the local area. The new chief CEO would like the organization to expand its revenue stream by investing in a senior multipurpose center serving healthy seniors by offering them arts and crafts and health and wellness programs. The center will also contain an Internet café offering nutritious breakfast and lunch options. The CEO has commissioned a needs assessment, and the study’s results reveal that there are approximately 120 seniors in the local community who are interested in this center and the CEO expects growth of the aging population to be at least 10% each year. Cost growth across all areas of expense is expected to rise by 5% each year. The CEO has presented her proposal and financial information to the Board of Directors, and they have advised her that they are in full support of her strategy only if the program is a benefit to the community and if the organization can recoup its investment in five years. The CEO has asked you if this can be achieved.Based on the information presented in the scenario, calculate the two analyses and explain, in a brief memorandum to the CEO, their implications. Service Line Break Even Analysis Memo The proposed costs to operate this new facility are as follows: Expected Monthly Revenue (Membership Fee): $125 per person Monthly Fixed Costs Utilities: $590 Health/Wellness Staff: $2,500 Arts/Crafts Staff: $2,000 Supplies: $800 Fitness Equipment Maintenance Contract: $200 Variable Costs Monthly Lunch Cost: $25 Monthly Breakfast Cost: $15 Based on the information above, once the minimum threshold of participants is reached, the initial investment to establish the center is $317,880. The organization anticipates that it will generate $46,920 of net revenues in the first year, $68,166 in the second year, $93,404 in the third year, $123,287 in the fourth year, and $158,573 in the fifth year. Perform the break-even analysis to determine how many seniors would need to have a full monthly membership for UMGC Home and Community-Based Services to cover its monthly expenses. Calculate the payback period to determine how long it will take for the organization to recover its initial investment of establishing the senior multipurpose center.
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
Purdue University Unit 5 Distribution of Penny Business Statistics Discussion
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. F ...
Purdue University Unit 5 Distribution of Penny Business Statistics Discussion
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. For many of the variables, you assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge – if the population is not normal, can you make any inferences about that population from your random samples?As a class last unit, you have created a population of the ages of pennies. Your instructor will share this Penny Population document with you as an Excel file, that will include the histogram, mean, and standard deviation of this population of penny ages. Your instructor will also share a link to the Sampling Form to be used in step 5. See Example and DB starter video in Unit 5 LiveBinder.Main Post:1) Describe the distribution shape of the population of penny ages (i.e., left skewed, symmetric, right skewed).2) On your copy of the Penny Population document, randomly select 5 penny ages from this population. Calculate the mean of this Nickel Sample (sample size n = 5). How does this compare to the population mean?3) On your copy of the Penny Population document, randomly select 10 penny ages from this population. Calculate the mean of this Dime Sample (sample size n = 10). How does this compare to the population mean?4) On your copy of the Penny Population document, randomly select 25 penny ages from this population. Calculate the mean of this Quarter Sample (sample size n = 25). How does this compare to the population mean?5) Enter your Nickel Sample mean, Dime Sample mean, and Quarter Sample mean in the Sampling Form sent by your instructor. It will generate a histogram of the class means for each sample (Nickel Samples, Dime Samples, and Quarter Samples).6) Copy and paste the class histograms as they look so far for others to review in the discussion.Peer Reply #1: Review a classmate’s post. Respond to them as a friend. In a few sentences, explain to them what the Central Limit Theorem says referencing the mean for their Nickel Sample, Dime Sample, and Quarter Sample. See Example.Peer Reply #2: Review another classmates’ post. Respond to them as a friend. What do you notice about the shape of the histograms for the Nickel samples, Dime samples, and Quarter samples. Do any of their histograms look normal? What can you infer about a Half Dollar Sample (sample size n = 50)? See Example.Activity based on R.L. Schaeffer et al., Activity-Based Statistics
Statistics Data Analysis SPSS Reports
Hi,I need correct answers for all the questions in the attached assignments. All the instructions are in the word file. Th ...
Statistics Data Analysis SPSS Reports
Hi,I need correct answers for all the questions in the attached assignments. All the instructions are in the word file. Thanks :)
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