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For this part, use the SPSS data file titled 1RM_Test.sav. From this file, you are interested in answering the question as to whether there is

For this part, use the SPSS data file titled "1RM_Test.sav." From this file, you are interested in answering the question as to whether there is a statistically significant difference in 1RM bench press among the three groups. In this data set, participants with no exercise are coded as 1, those who engage in a regular aerobic exercise are coded as 2, and those who engage in a regular resistance exercise are coded as 3. The measure of 1RM bench press is expressed in kilograms (kg) using the variable "Bench_1RM."

Run the data using the appropriate statistical method based on the research question and interpret the results using the sample write-up you learned in class. Attach your SPSS output for each question showing how you obtained the results you did.

1. Attach the "Descriptives" results table and write the average score for each group.

2. Attach the "Test of Homogeneity of Variances" results table and write out whether or not this assumption is violated.

3. Attach the "ANOVA" results table if the assumption is not violated. Otherwise, attach the "Welch's ANOVA" results table (if the assumption is violated).

4. Based on the assumption results, interpret the ANOVA results or Welch's ANOVA results (including F value, p value, and df 1 and 2).

5. Attach the "Tukey HSD Post Hoc Test" results table or "Games-Howell Post Hoc Test" results table depending on the assumption of the test of homogeneity of variances. Next, interpret the results which groups showed significant differences in 1RM bench press using the sample write-up we covered in class (Hint: focus only on the significant results, meaning that you don't need to mention results with a p-value greater than 0.05).

ID Bench_1RM Group
1 50.0 1
2 45.0 1
3 55.0 1
4 35.0 1
5 52.5 1
6 60.0 1
7 62.5 1
8 40.0 1
9 35.0 1
10 42.5 1
11 50.0 2
12 65.0 2
13 67.5 2
14 75.0 2
15 80.0 2
16 85.5 2
17 50.0 2
18 45.0 2
19 60.0 2
20 65.5 2
21 80.0 3
22 95.0 3
23 90.0 3
24 100.0 3
25 105.0 3
26 110.0 3
27 125.0 3
28 90.0 3
29 70.0 3
30 60.0 3

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