For this part, use the Table 2 data setup and analyze the data using SPSS. A researcher wanted to evaluate the effect of the exercise program on IQ levels. 27 undergraduate students took part in a 16-week weight training program. They were assessed the same IQ test twice before and after the training program. The researcher is interested in answering the question as to whether there is a statistically significant difference in IQ levels between before and after the 16-week weight- training program.

Run the data using the suitable statistical approach based on the research question and interpret the results using the sample write-up you learned in class. Attach the SPSS outputs showing how you obtained the results. Also, follow 8 steps of hypothesis testing and answer each question.

Table 2

Data setup

ID	Pre_IQ_score	Post_IQ_score
1	100	100
2	95	110
3	99	103
4	142	142
5	111	123
6	88	91
7	78	85
8	85	89
9	95	96
10	101	99
11	103	105
12	117	118
13	85	84
14	75	75
15	132	132
16	125	126
17	109	107
18	96	95
19	97	98
20	130	129
21	102	106
22	155	162
23	84	82
24	80	81
25	72	74
26	76	80
27	85	87

8 Steps of hypothesis testing

1. State hypotheses ( Two-tailed test)

Answer

• H1
• H0

2. Set the significance level

Answer

3. Determine the appropriate statistical test

Answer

4. What is the t statistic?

Answer

5. What is the degree of freedom?

Answer

6. Identify the critical value and rejection region

Answer

• Critical value
• Rejection region

7. Make a statistical decision

Answer

8. Make a practical conclusion

Answer

Attach two SPSS output tables below (including "Paired Samples Statistics" and "Paired Samples Test") and interpret the results using the sample write-up (see your PDF document).