250- 200- A 150- O AO 100- HC 50- Sports (min/week) Step count/100 (steps/day) Screen time (min/day) Time spent in PA (min/day) Active transport (min/week) Fig. 2 Physical activity levels per group. There were no significant differences between groups in each of the categories, measured by ANOVA (p 2 0.05). Abbreviations: A: asthma, O: overweight/obesity, AO: asthma and overweight/obesity, HC: healthy control, PA: physical activity Question Next, you set up a hypothesis test to determine if there is a difference in the proportion of asthma medication use between healthy weight children with asthma and obese children with asthma. Your null hypothesis is that there is no difference in the proportion of asthma medication use between groups. After conducting your hypothesis test, you find a p-value of 0.07. Is there a statistically significant difference in asthma medication use between healthy weight and obese children? Use alpha = 0.05 (standard value). O We reject the null and accept the alternative hypothesis. The difference IS statistically significant We fail to reject the null. There is NOT a statistically significant difference