Pubh 6033—week 7 assignment 1 comparing two means: when drink drove a

PUBH 6033—Week 7 Assignment 1

Comparing two means: When drink drove a Student to statistics

(Rubric included)

For this assignment, you review this week’s Learning Resources and then perform a two-sample independent t-test and an ANOVA related to the dataset that was utilized in the week 2 SPSS application assignment. Import the data into SPSS; or, if you correctly saved the data file in week 2, you may open and use that saved file to complete this assignment. Type your answers to all questions directly into the worksheet, and paste the required output at the end of this document. 

Submit this Application Assignment by Day 7.

———————————————————————————————————————

A study was conducted to determine if a walking plus strength training exercise program results in a significantly greater increase in aerobic capacity as compared to a walking only exercise program. Participants are randomly selected and then randomly assigned to one of the exercise groups. Participants’ aerobic endurancewas assessed at the beginning of the study and, again, after 6-months of exercise. 

Coding for study variables:

· AGE—age in years

· SEX—1 =male, 2=female

· EXERCISE—1= walking and strength training; 2 = walking; 

· CHNG_ENDUR—change in maximal oxygen uptake (liters per minute)from pre-test to post-test

———————————————————————————————————————

Note: Save all of your SPSS output. You will paste copies in steps 7-9, below.

Step 1:Review this week’s Learning Resources.

Step 2: Import the Microsoft Excel data file provided in this week’s learning resources into SPSS (or open saved file from week 2 application assignment).

Step 3:Run and save the Codebook for your SPSS data file 

Step 4: Conduct an independent samples t-test to determine if there is a difference between the exercise type 1 and 2 in terms of changes in maximal oxygen uptake. Note that the independent variable is EXERCISE, and the dependent variable is CHNG_ENDUR.For this analysis, choose a two-tailed test of significance. 

Step 5: Conduct a between-subjects ANOVA to determine if there is a difference between sex (males vs. females) and CHNG_ENDUR. Note that the independent variable is SEX, and the dependent variable is CHNG_ENDUR. For this analysis, choose a two-tailed test of significance. 

Step 6: Review your SPSS output and answer each of the following questions:

QUESTION

type answers below

Score (to be entered by instructor)

From the independent samples t-test   output:

1. What is the mean CHNG_ENDUR for group   1?

/3points

2. What is the CHNG_ ENDUR standard   deviation for group 1?

/ 3 points

3. What is the mean CHNG_ENDUR for group   2?

/ 3 points

4. What is the CHNG_ ENDUR standard   deviation for group 2?

/ 3 points

5. What is the value of the t-statistic   (equal variances assumed)?

/ 3 points

6. What is the probability that the   obtained t-statistic was simply due to chance as opposed to actual exercise   type differences [see “Sig (two-tailed)” on output]?

/ 3 points

7. Are the results statistically   significant at alpha = 0.05 (yes or no)?

/ 3 points

8. Based on the results, do you reject   or fail to reject the null hypothesis?

/ 3 points

From the ANOVA output:

9. What is the mean CHNG_ENDUR for   males?

/ 3 points

10. What   is the CHNG_ENDUR standard deviation for males?

/ 3 points

11. What   is the mean CHNG_ENDUR for females?

/ 3 points

12. What   is the CHNG_ENDUR standard deviation for females?

/ 3 points

13. What   is the calculated F-value?

/ 3 points

14. What   is the probability (noted as “Sig” on output) that the obtained F-value was   simply due to chance as opposed to actual gender differences?

/ 3 points

Step 7: Paste the SPSS Codebook output below.

Step 8: Paste the independent samples t-test outputbelow.

Step 9: Paste the ANOVA output below.

Section below (scoring) is to be completed by Instructor

Scoring Rubric for week 2 assignment1—Hands on SPSS(60 points)

Timeliness

Fully Met

Partially   Met/Good

Partially Met/Fair

Not Met 

Timeliness Indicators

Posted   by the deadline

Posted   1 day late

Posted   2-4 days late

Posted   five or more days late

Grade impact

No impact

10%   reduction in overall assignment score 

20%   reduction in overall assignment score 

0   points

Questions

14   questions (worth 3points each)

____ / 42 points possible

SPSS   Output

Three   SPSS outputs (6 points each) ____ / 18 points possible

Initial Score (60 possible points):  

Timeliness Factor (late points deducted): 

Total Score (60 possible points): 

Instructor comments:  

   54304%�#oc