A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The commercials were for clothes, food, and toys. Clothes Food Toys 32 48 52 26 24 37 33 38 35 58 59 28 47 63 31 42 53 17 34 48 31 43 58 20 57 47 47 51 44 51 54 Click here for the Excel Data File Required: a. What are the null and alternate hypotheses? Ho: H: b. Complete the ANOVA table. Use 0.05 significance level. (Round the SS and MS values to 1 decimal place, Fvalue, p-value, and F crit to 2 decimal places. Leave no cells blank - be certain to enter "0" wherever required. Round the of values to nearest whole number.) Source of Variation SS MS F p-value F crit Treatment 2,837.1 2 1,418.5 21.33 2.01-06 3.3277 Err 1.928.7 29 66.5 Total 4,765.7 31 c. What is the test statistic? (Round your answer to 4 decimal places.) The test statistic is 21. 32 d. What is the p-value? (Round your answer to 4 decimal places.) Pwvalue 2.0100 f. Interpret the result. There is in the mean attention span 9. Compute the 95% confidence intervals that estimate the difference between each pair of means. (Negative amount should be indicated by a minus sign. Round your answers to 2 decimal places.) (Smaller Mean - Larger Mean) The interval for the difference between Clothes and Food is from (Larger Mean - Smaller Mean) The interval for the difference between Clothes and Toys is from to 8 The interval for the difference between Food and Toys is from to