A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The c
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A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The c
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 df values to nearest whole number.) Source of Variation Treatment Error Total 55 The test statistic is 3,447.1 1,554.4 5,001.5 df 2 29 31 MS 1,723.5 53,6 c. What is the test statistic? (Round your answer to 4 decimal places.) d. What is the p-value? (Round your answer to 4 decimal places.) 32.15 p-value 0.00 Forl
f. Interpret the result. There is a difference in the mean attention span. g. 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.) The interval for the difference between Clothes and Food is from The interval for the difference between Clothes and Toys is from The interval for the difference between Food and Toys is from (Smaller Mean-Larger Mean) to to to (Larger Mean-Smaller Mean) 10 to to
g. 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.) The interval for the difference between Clothes and Food is from The interval for the difference between Clothes and Toys is from The interval for the difference between Food and Toys is from h. Which pairs of means are statistically different? O Clothes - Food O Clothes- - Toys O Food - Toys O All of the above. (Smaller Moan-Larger Mean) to to - to (Larger Mean-Smaller Mean) to to to