Project Analysis
300 points total
Your grade will be calculated based on the following:
• R: How easy and clear it is to read your code, comments and answers to questions
• R: Statistical tests need descriptions of what you used for significance – for example: t-test what test did you choose and why, ANOVA, what test did you choose and why? Include model equations and output commented out
Note:
• For all R programming, be sure to use comments describing what you are doing.
• All answers to questions should be provided in the comments of your code following the code you used to answer the question. Please be sure to write the question number as well prior to your code.
• Points will be taken off if there are no comments, no answers to questions, no references used in models, tables no in the wrong direction the question is asking.
Part 2 – Statistical analysis
If you do a statistical test report the P value and a conclusion about that P value. Copy histograms to a word document. Results should be copied into the code and commented out.
1. 5 points
Using the analysis data, you just created in SAS, read the file into R.
2. 13 points
Using R, create a histogram of the variables bmi and average steps. (10pts) Does the distribution look normally distributed?(3pts) Note: This is a visual inspection. Copy the histogram into word document.
Note: unless specifically specified, or hinted that a different test is needed, please assume normality for the questions below.
3. 10 points
What are the mean, median, standard deviation, and inter quartile range of the variables bmi and average steps?
4. 20 points
Is the sample’s mean age statistically significantly different from 0? From 12? Give a brief summary of your findings.
5. 25 pts
Does average_steps vary by cvd_risk category? (20pts) Hint: a statistical test is needed to test the difference in means by cvd_risk. Give a brief summary of your findings (5pts).
6. 25 points
Does bmi vary by cvd_risk? (20pts) Hint: a statistical test is needed to test the difference in means by cvd_risk. Give a brief summary of your findings.(5pts)
7. 40 points
Is BMI increasing or decreasing from baseline after follow-up? (10pts) Hint: look at the direction. Explain if BMI went up or down after follow-up and if there was a statistical difference. Hint: a statistical test is needed. (10 pts)
Is average_steps increasing or decreasing from baseline after follow-up? (10pts) Hint: look at the direction. Explain if average_steps went up or down after follow-up and if there was a statistical difference. Hint: a statistical test is needed. (10pts)
8. 25 points
o Does average steps vary by bmicat category (the 4 levels of bmicat category)? (15pts) Hint: a statistical test is needed to test the differences in means of bmicat category. Make sure you report the means of average steps for each category.
o Which pairs are different from one another? (5pts)
9. 25 points
o Does foodscore vary by bmicat category? Hint: a statistical test is needed to test the differences in means of bmicat category. Make sure your report the means of foodscore for each category. (15pts)
o Which pairs are statistically significantly different from one another? (5pts)
10. 10 points
o Is foodscore and bmi positively or negatively correlated?
o Is bmi and average_steps positively or negatively correlated?
11. 20 points
o Is foodscore a significant linear predictor of bmi? (5pts)
o Explain the direction of the parameter estimate. (5pts)
o Write the equation as a comment in your code. (5pts)
o What is the parameter estimate? This is your crude estimate of foodscore. (5pts)
12. 36 points
o Now create an adjusted model by adding age, sex, and average_steps to your model. (6pts)
o What is the parameter estimate for foodscore? (6pts)
o How did the addition of the variables change the estimate? Is the parameter estimate higher or lower or did it change completely? (6pts)
o Calculate or run a function to get the confidence intervals around the parameter estimate(6pts)
o Write the model equation in your code as a comment.(6pts)
o What is the direction of the parameter estimate? In other words, are people with high bmi have a high foodscore? (6pts)
CS 340 Milestone One Guidelines and Rubric Overview: For this assignment, you will implement the fundamental operations of create, read, update,
Retail Transaction Programming Project Project Requirements: Develop a program to emulate a purchase transaction at a retail store. This
7COM1028 Secure Systems Programming Referral Coursework: Secure
Create a GUI program that:Accepts the following from a user:Item NameItem QuantityItem PriceAllows the user to create a file to store the sales receip
CS 340 Final Project Guidelines and Rubric Overview The final project will encompass developing a web service using a software stack and impleme
