Calculate summary statistics for resting pulse for smokers

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Reference no: EM131216018

Assignment-

Background to the assignment:

In this assignment you will be investigating pulse rate data collected by a sports science researcher who was interested in the effects of various factors on pulse rates at rest and after a short burst of exercise. The data was collected from 91 undergraduate volunteers as follows: The researcher began by recording the height, weight, gender, smoking habits (i.e. smoker or non-smoker), daily activity level, and resting pulse rate of the volunteers. The researcher then divided the volunteers at random into two groups. The first group ran in place for a minute while the other group stood still. Then, the volunteers in each group recorded their pulse rates once   more.

Data:

The data is contained in the Mintab worksheet Assign2016.MTW and contains 8 columns:

Column

Name

Description

C1

Pulse1

Resting Pulse

C2

Pulse2

Pulse after running or not running

C3

Ran

Whether student ran or not ('Yes' or 'No')

C4

Smokes

Whether student smokes ('Yes' or 'No')

C5

Gender

Gender of student: M or F

C6

Height

Student's height in inches

C7

Weight

Student's weight in pounds

C8

Activity

Daily activity level (Slight, Moderate, or A Lot)

The Minitab project file Assign2016.MPJ can be found on the Vision page in the Minitab Assignment folder under Assessment.

Assignment Tasks

Task 1 -

To investigate differences between resting pulse rate for smokers and non-smokers, calculate summary statistics for resting pulse for smokers and non-smokers and produce boxplots for resting pulse for smokers and non-smokers. Comment on these statistics and plots.

Task 2 -

Investigate differences between resting pulse rate for men and women by calculating summary statistics for resting pulse for each group and producing boxplots for resting pulse for each group. Comment on these statistics and plots.               

Investigate whether there is a statistically significant difference between the mean resting pulse for men and women by carrying out an appropriate 2-sided t test on the difference in the mean pulse rates for the two groups. Clearly state your hypotheses and the assumptions needed for the test, and interpret the result.

Task 3 -

Produce boxplots of resting pulse split by gender and smoker/non-smoker. Comment on these boxplots.

Split the worksheet by gender and investigate whether there is a statistically significant difference between the mean resting pulse rate for women who smoke and for women who do not smoke by carrying out an appropriate 2-sided t test on the difference in mean pulse rates for the two groups. Again, clearly state your hypotheses and the assumptions needed for the test, and interpret the result.

Task 4 -

Create a new column called Differences containing the difference between pulse after running/not running and resting pulse. These values should be reported in the appendix.

Split the worksheet by whether the student ran or didn't run and produce dotplots of the differences for the runners and the non-runners. Comment on the dotplots.

For the group that didn't run, produce a 95% confidence interval for the mean difference between the first pulse measurement and the second pulse measurement. You should note that 0 is in the confidence interval and interpret this.

For the group that ran, carry out an appropriate 1-sided t-test for the mean difference between the the first pulse measurement and the second pulse measurement. Clearly state your hypotheses and the assumptions of the test, and interpret the result.

For the group that ran, determine a lower 95% confidence interval for the mean difference between the first pulse measurement and the second pulse measurement, and comment on this confidence interval.

Task 5 -

Plot weight against height and comment on the plot.

Use the method of least squares regression to obtain an equation for weight in terms of height.

Use the residuals from the regression to comment on whether the assumptions of the regression model are justified. Support your commentary with appropriate plots.

Briefly comment on any limitations of this model.

Reference no: EM131216018

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Reviews

len1216018

9/22/2016 2:27:50 AM

The report should not contain Minitab commands, but there must be an Appendix which specifies briefly how the results for each section were obtained using Minitab. The specification can include menu commands and/or commands copied from the Session window. Note that the cutting and pasting of cells within the Worksheet window is not good practice. Your assignment should be not more than five sides of A4 including graphs and tables, but not including the title page or the Appendix. Wherever possible, Minitab output should have an annotation generated by Minitab indicating authorship. For example, a PLOT should include your name in the title or as a footnote.

len1216018

9/22/2016 2:27:40 AM

This assignment should be produced using a word processing package such as Microsoft Word. There should be a header page that includes your name and matriculation number. Students are encouraged to discuss the methods used with other students, but your submitted assignment must be all your own work. In particular, copying a section of your assignment, either plots or commentary, from another student is a serious disciplinary offence. It is also an offence to allow another student to copy your work, so your assignment files should not be made available to other students. The main part of your assignment should give the results for each task that you carry out and your comments on and conclusions from these results. Results from the Minitab Session window should be pasted in without changing the font. Minitab graphical output may be resized, but no other changes should be made to it.

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