1. The presenter’s conclusion that watching TV causes weight gain is incorrect because correlation does not imply causation. The correlation $r=0.21$ only indicates a weak positive association between weight and hours of TV watched, not that one causes the other. 2. The difference in standard deviations (SD men = 8.43, SD women = 1.57) indicates that men’s weights are more spread out or variable around the mean compared to women’s weights, which are more consistent. 3. Reporting the standard deviation along with the mean is important because the mean alone does not show the variability or spread of the data. The SD helps understand how much individual values differ from the average. 4. Limitations in the methodology include a small sample size (only 30 people), lack of random sampling, no control for confounding variables, and no statistical test to compare men’s and women’s weights. 5. Recommendations to improve the study: - Increase the sample size to improve representativeness and statistical power. - Use random sampling methods to reduce bias. - Conduct appropriate statistical tests (e.g., t-test) to compare groups and control for confounders. These steps ensure more reliable and valid conclusions about the relationship between TV watching and weight.