For this part, use the Table 1 data setup and analyze the data using SPSS. You are interested in answering the question as to whether there is a statistically significant difference in BMI between males and females. In this data set, males are coded as 1 and females are coded as 2. You know the height (in meters) and weight (in kilograms) of an individual participant that enables you to calculate individual's BMI using the formula below and create the new BMI variable in SPSS.

BMI = kg / m²

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 outputs showing how you obtained the results. Also, follow 8 steps of hypothesis testing and answer each question.

Table 1

Focus on .025 t table

P value- .05

Data setup

ID	Height	Weight	Group
1	1.78	100	1
2	1.99	87	1
3	1.84	135	1
4	1.66	100	1
5	1.87	59	1
6	1.72	66	1
7	1.70	69	1
8	1.69	75	1
9	1.83	85	1
10	1.80	97	1
11	1.61	60	2
12	1.44	55	2
13	1.56	54	2
14	1.80	64	2
15	1.68	48	2
16	1.51	45	2
17	1.64	53	2
18	1.63	51	2
19	1.53	44	2
20	1.49	42	2

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? (Tip: focus on the "Equal variances assumed" results)

Answer

5. What is the degree of freedom? (Tip: focus on the "Equal variances assumed" results)

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 "Group Statistics" and "Independent Samples Test") and interpret the results using the sample write-up (see your PDF document).