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Shoes The AP Statistics class in Exercise 1 also asked an SRS of 20boys at their school how many pairs of shoes they have. A 95%confidence interval for μG-μB=the true difference in the mean number of pairs of shoes for girls and

boys is 10.9to26.5.

a. Interpret the confidence interval.

b. Does the confidence interval give convincing evidence of a difference in the true mean number of pairs of shoes for boys and girls at the school? Explain your answer.

Short Answer

Expert verified

a. There is 95%confidence interval.

b. The confidence interval gives enough convincing evidence of a difference in the true mean number of pairs of shoes for boys and girls at the school.

Step by step solution

01

Given Information

It is given that for 95%confidence interval, true difference in mean number of shoes for boys and girls are(10.9,26.5)

02

a. Estimating Confidence Interval

From give data, there is 95%assurance that true mean number of pair of shoes of girls is greater than true mean number of pair of shoes for boys.

03

b. To Explain that the confidence interval gives convincing evidence for difference in the true mean number of pairs of shoes for boys and girls at the school

We can observe that confidence interval is containing zero. Hence, it is not likely that there is not any difference in mean number of pair of shoes for boys and girls. Hence, there is convincing evidence for difference in the true mean number of pairs of shoes for boys and girls at the school .

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Most popular questions from this chapter

How confident? The figure shows the result of taking 25SRSs from a Normal population and constructing a confidence interval for the population mean using each sample. Which confidence level—80%,90%,95%,or99%—do you think was used? Explain your reasoning.

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a. Does the confidence interval provide convincing evidence that the true mean volume is different than 12ounces? Explain your answer.

b. Does the confidence interval provide convincing evidence that the true mean volume is 12ounces? Explain your answer.

One reason for using a t distribution instead of the standard Normal distribution to find critical values when calculating a level C confidence interval for a population mean is that

a. zcan be used only for large samples.

b. zrequires that you know the population standard deviation σ.

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d. z requires that the sample size is less than 10% of the population size.

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