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Sp 2021 01 24 Discrete
Given your responsibilities, you decide to refresh your memory with respect to number representation conversions: decimal ...
Sp 2021 01 24 Discrete
Given your responsibilities, you decide to refresh your memory with respect to number representation conversions: decimal to binary and hexadecimal ...
Saint Leo University Mortgage Approval Time Study Presentation
Case Study 2: Mortgage Approval Time StudyDue Week 8 and worth 190 points Read the following case study:A major financial ...
Saint Leo University Mortgage Approval Time Study Presentation
Case Study 2: Mortgage Approval Time StudyDue Week 8 and worth 190 points Read the following case study:A major financial services company wishes to better understand its mortgage approval process. In particular, the company is interested in learning about the effects of credit history (good versus fair), the size of the mortgage (<$500,000 versus >$500,000), and the region of the United States (western versus eastern) on the amount of time it takes to get a mortgage approved. The database of mortgages approved in the last year is accessed, and a random sample of five approved mortgages is selected for each of the eight combinations of the three variables. The data are shown in the tableMortgage Approval Time Study Credit History Mortgage Size Region Approval Times (Days)Good <$500,000 Western 59 50 64 62 47Fair <$500,000 Western 81 58 69 65 74Good >$500,000 Western 38 52 58 60 65Fair >$500,000 Western 146 159 133 143 129Good <$500,000 Eastern 28 26 38 41 21Fair <$500,000 Eastern 42 53 40 50 64Good >$500,000 Eastern 49 31 49 42 38 Fair >$500,000 Eastern 106 115 126 118 138
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
SPSS output, please include explanations of the results - Read Question
Details:Use MS Word to complete "Questions to be Graded: Exercise 27" in Statistics for Nursing Research: See Attachment f ...
SPSS output, please include explanations of the results - Read Question
Details:Use MS Word to complete "Questions to be Graded: Exercise 27" in Statistics for Nursing Research: See Attachment for Content.( A Workbook for Evidence-Based Practice.) Submit your work in SPSS by copying the output and pasting into the
Word document. In addition to the SPSS output, please include
explanations of the results where appropriate. Calculating Descriptive Statistics • EXERCISE 27
1. What is the mean age of the sample data? 2. What percentage of patients never used tobacco? 3. What is the standard deviation for age? 4. Are there outliers among the values of age? Provide a rationale for your answer. 5. What is the range of age values? 6. What percentage of patients were taking infliximab? 7. What percentage of patients had rheumatoid arthritis as their primary diagnosis? 8. What percentage of patients had irritable bowel syndrome as their primary diagnosis? 9. What is the 95% CI for age? 10. What percentage of patients had psoriatic arthritis as their primary diagnosis?
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Most Popular Content
3 pages
Sp 2021 01 24 Discrete
Given your responsibilities, you decide to refresh your memory with respect to number representation conversions: decimal ...
Sp 2021 01 24 Discrete
Given your responsibilities, you decide to refresh your memory with respect to number representation conversions: decimal to binary and hexadecimal ...
Saint Leo University Mortgage Approval Time Study Presentation
Case Study 2: Mortgage Approval Time StudyDue Week 8 and worth 190 points Read the following case study:A major financial ...
Saint Leo University Mortgage Approval Time Study Presentation
Case Study 2: Mortgage Approval Time StudyDue Week 8 and worth 190 points Read the following case study:A major financial services company wishes to better understand its mortgage approval process. In particular, the company is interested in learning about the effects of credit history (good versus fair), the size of the mortgage (<$500,000 versus >$500,000), and the region of the United States (western versus eastern) on the amount of time it takes to get a mortgage approved. The database of mortgages approved in the last year is accessed, and a random sample of five approved mortgages is selected for each of the eight combinations of the three variables. The data are shown in the tableMortgage Approval Time Study Credit History Mortgage Size Region Approval Times (Days)Good <$500,000 Western 59 50 64 62 47Fair <$500,000 Western 81 58 69 65 74Good >$500,000 Western 38 52 58 60 65Fair >$500,000 Western 146 159 133 143 129Good <$500,000 Eastern 28 26 38 41 21Fair <$500,000 Eastern 42 53 40 50 64Good >$500,000 Eastern 49 31 49 42 38 Fair >$500,000 Eastern 106 115 126 118 138
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
SPSS output, please include explanations of the results - Read Question
Details:Use MS Word to complete "Questions to be Graded: Exercise 27" in Statistics for Nursing Research: See Attachment f ...
SPSS output, please include explanations of the results - Read Question
Details:Use MS Word to complete "Questions to be Graded: Exercise 27" in Statistics for Nursing Research: See Attachment for Content.( A Workbook for Evidence-Based Practice.) Submit your work in SPSS by copying the output and pasting into the
Word document. In addition to the SPSS output, please include
explanations of the results where appropriate. Calculating Descriptive Statistics • EXERCISE 27
1. What is the mean age of the sample data? 2. What percentage of patients never used tobacco? 3. What is the standard deviation for age? 4. Are there outliers among the values of age? Provide a rationale for your answer. 5. What is the range of age values? 6. What percentage of patients were taking infliximab? 7. What percentage of patients had rheumatoid arthritis as their primary diagnosis? 8. What percentage of patients had irritable bowel syndrome as their primary diagnosis? 9. What is the 95% CI for age? 10. What percentage of patients had psoriatic arthritis as their primary diagnosis?
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