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Battery Life of Tablet Computers Is of Great Concern to Customers.A

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Battery life of tablet computers is of great concern to customers.A consumer group has tested four brands of such tablets to determine the battery life.Samples of tablets of each brand were fully charged and left to run until the battery died.The number of hours that each tablet lasted was recorded.The following graphs and tables from the analysis of the data are provided.(Note: Some entries have been omitted and replaced with **.) Battery life of tablet computers is of great concern to customers.A consumer group has tested four brands of such tablets to determine the battery life.Samples of tablets of each brand were fully charged and left to run until the battery died.The number of hours that each tablet lasted was recorded.The following graphs and tables from the analysis of the data are provided.(Note: Some entries have been omitted and replaced with <sub>**.</sub>)      What conclusion might you reach based on these analyses? A) There is no evidence to suggest that the null hypothesis should be rejected. B) There is evidence to support the conclusion that all the population means are different. C) There is sufficient evidence to conclude that the sample means are not equal. D) There is sufficient evidence to conclude that not all the population means are equal. E) It would be dangerous to conclude anything because the sample sizes are small and some of the ANOVA assumptions are not satisfied. Battery life of tablet computers is of great concern to customers.A consumer group has tested four brands of such tablets to determine the battery life.Samples of tablets of each brand were fully charged and left to run until the battery died.The number of hours that each tablet lasted was recorded.The following graphs and tables from the analysis of the data are provided.(Note: Some entries have been omitted and replaced with <sub>**.</sub>)      What conclusion might you reach based on these analyses? A) There is no evidence to suggest that the null hypothesis should be rejected. B) There is evidence to support the conclusion that all the population means are different. C) There is sufficient evidence to conclude that the sample means are not equal. D) There is sufficient evidence to conclude that not all the population means are equal. E) It would be dangerous to conclude anything because the sample sizes are small and some of the ANOVA assumptions are not satisfied. What conclusion might you reach based on these analyses?


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