1. The presenter’s conclusion that watching TV causes weight gain is incorrect because correlation does not imply causation. A correlation of $r=0.21$ only indicates a weak association between weight and hours of TV watched, not that one causes the other. 2. The difference in standard deviations ($8.43$ for men and $1.57$ for women) 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 how spread out the data are. The standard deviation provides insight into the variability or dispersion of the data, helping to understand the distribution better. 4. Limitations in the methodology include: a small sample size (only 30 people), lack of a control group, no statistical test to compare men’s and women’s weights, and no control for confounding variables that might affect weight or TV watching habits. 5. Recommendations to improve the study: - Increase the sample size to improve the reliability and generalizability of results. - Conduct statistical tests (e.g., t-test) to determine if weight differences between men and women are significant. - Use a longitudinal or experimental design to better assess causality between TV watching and weight gain.