Q1. A researcher wanted to determine whether different brands of cereal lead to different amounts of weight gain. He randomly selected 30 laboratory rats and assigned to five groups. All five groups will have identical lab conditions, with one exception: the brand of cereal that each group receives during the experimental period. Based on the table below, is there a significant difference in weight gain among the rats that were fed the different brands of cereal? 1) Complete the ANOVA table below. Show all your work. F Source SS DF MS Between Within 98.16 Total 128.25 2) Perform ANOVA test for the population means. Use a = 0.05, and rejection region to make a decision.

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CHMH
ue 11/
Q1. A researcher wanted to determine whether different brands of cereal lead to different amounts of
weight gain. He randomly selected 30 laboratory rats and assigned to five groups. All five groups wll
have identical lab conditions, with one exception: the brand of cereal that each group receives during
the experimental period. Based on the table below, is there a significant difference in weight gain
among the rats that were fed the different brands of cereal?
1) Complete the ANOVA table below. Show all your work.
F
Source
SS
DF
MS
Between
Within
98.16
Total
128.25
2) Perform ANOVA test for the population means. Use a = 0.05, and rejection region to make a
decision.
Transcribed Image Text:CHMH ue 11/ Q1. A researcher wanted to determine whether different brands of cereal lead to different amounts of weight gain. He randomly selected 30 laboratory rats and assigned to five groups. All five groups wll have identical lab conditions, with one exception: the brand of cereal that each group receives during the experimental period. Based on the table below, is there a significant difference in weight gain among the rats that were fed the different brands of cereal? 1) Complete the ANOVA table below. Show all your work. F Source SS DF MS Between Within 98.16 Total 128.25 2) Perform ANOVA test for the population means. Use a = 0.05, and rejection region to make a decision.
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