complete SPSS work week 7

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. --------------------------------------------------------------------------------------------------------------------- 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 endurance was 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 in terms of changes in maximal oxygen uptake. Note that the independent © 2017 Laureate Education, Inc. Page 1 of 6

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? ____4.67____________ ____ / 3 points 2. What is the CHNG_ ENDUR standard deviation for group 1? ___1.197_____________ ____ / 3 points 3. What is the mean CHNG_ENDUR for group 2? ____4.00____________ ____ / 3 points 4. What is the CHNG_ ENDUR standard deviation for group 2? __________.1.856______ ____ / 3 points 5. What is the value of the t statistic (equal variances assumed)? ____________1.363___ ____ / 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]? ________.181___ ____ / 3 points 7. Are the results statistically significant at alpha = 0.05 (yes or no)? ________yes________ ____ / 3 points 8. Based on the results, do you reject or fail to reject the null hypothesis? ___reject____________ ____ / 3 points From the ANOVA output: 9. What is the mean CHNG_ENDUR for males? ___4.53_____________ ____ / 3 points 10. What is the CHNG_ENDUR standard deviation for males? __1.467______________ ____ / 3 points 11. What is the mean CHNG_ENDUR for females? _______4.19_________ ____ / 3 points 12. What is the CHNG_ENDUR standard deviation for females? ___________1.662_____ ____ / 3 points 13. What is the calculated F-value? ______.455__________ ____ / 3 points 14. What is the probability (noted as “Sig” on output) that the obtained F-value was simply ____________.504____ ____ / 3 points © 2017 Laureate Education, Inc. Page 2 of 6

Oneway Notes Output Created 15-APR-2023 18:25:53 Comments Input Active Dataset DataSet2 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 40 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each analysis are based on cases with no missing data for any variable in the analysis. Syntax ONEWAY CHNG_ENDUR BY SEX /ES=OVERALL /STATISTICS DESCRIPTIVES HOMOGENEITY BROWNFORSYTHE /PLOT MEANS /MISSING ANALYSIS /CRITERIA=CILEVEL(0. 95). Resources Processor Time 00:00:01.21 Elapsed Time 00:00:02.00 Descriptives change in maximal oxygen uptake N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimu m Maximu m Lower Bound Upper Bound male 19 4.53 1.467 .337 3.82 5.23 2 8 femal 21 4.19 1.662 .363 3.43 4.95 2 8 Total 40 4.35 1.562 .247 3.85 4.85 2 8 Tests of Homogeneity of Variances © 2017 Laureate Education, Inc. Page 4 of 6

Codebook Notes Output Created 14-APR-2023 00:49:19 Comments Input Active Dataset DataSet2 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 40 Syntax CODEBOOK AGE [s] SEX [n] EXERCISE [n] CHNG_ENDUR [n] /VARINFO POSITION LABEL TYPE FORMAT MEASURE ROLE VALUELABELS MISSING ATTRIBUTES /OPTIONS VARORDER=VARLIST SORT=ASCENDING MAXCATS=200 /STATISTICS COUNT PERCENT MEAN STDDEV QUARTILES. Resources Processor Time 00:00:00.04 Elapsed Time 00:00:01.00 AGE Value Standard Attributes Position 2 Label age in years Type Numeric Format F11 Measurement Scale Role Input N Valid 40 Missing 0 Central Tendency and Mean 39.10 Standard Deviation 12.732 Percentile 25 29.00 Percentile 50 38.00 Percentile 75 49.00 © 2017 Laureate Education, Inc. Page 5 of 6