Q4) Define the following :

1-Test Statistic.

2-A Type 1 Error is rejecting the null hypothesis when H₀ is true.

3-A Type 2 Error is failing to reject the null hypothesis when H_A is true.

4-Hypothesis testing framework

Q5)

The third National Health and Nutrition Examination Survey collected body fat percentage (BF%) and gender data from 13,601 subjects ages 20 to 80. The average BF% for the 6,580 men in the sample was 23.9, and this value was 35.0 for the 7,021 women. The standard error for the difference between the average men and women BF%s was 0.114. Do these data provide convincing evidence that men and women have different average BF%s. You may assume that the distribution of the point estimate is nearly normal.

1. Set hypotheses
2. Calculate point estimate
3. Check conditions
4. Draw sampling distribution, shade p-value
5. Calculate test statistics and p-value, make a decision