[solution]-PUBH 6033—Week 7 Assignment 1 Comparing two means: When drink drove a Student to statistics

PUBH 6033—Week 7 Assignment 1

Comparing two means: When drink drove a Student to statistics

(Rubric included)

Instructions

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.

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 Research Scenario

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

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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:

 

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