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Shoe and Apparel E-Tailers. In the special report "Mousetrap: The Most-Visited Shoe and Apparel E-tailers" (Foonucar News, Vol. 58 . No. 3. p. 18), we found the following data on the average time, in minutes, spent per user per month from January to June of one year for a sample of 15 shoe and apparel retail websites.

Short Answer

Expert verified

It is reasonable to apply the t-interval procedure to obtain the confidence interval of the population mean based on the sample.

Step by step solution

01

Given information

13.39.011.19.18.4
15.68.18.313.017.1
16.313.58.015.15.8
02

Explanation

Now, draw a probability plot for the given data.

Now construct a box plot for a given data.

03

Explanation

Now construct the histogram for the given data.

The sample size here is moderate (n=15) We can see that there is no outlier in the sample from the graphical representations of the data, and the normal probability plot suggests that the variable under discussion is nearly normally distributed because the plotted points fall roughly along a straight line. As a result, using the t-interval approach to calculate the confidence interval of the population means based on the sample is fair.

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Most popular questions from this chapter

Smelling Out the Enemy. Snakes deposit chemical trails as they travel through their habitats. These trails are often detected and recognized by lizards, which are potential prey. The ability to recognize their predators via tongue flicks can often mean life or death for lizards. Scientists from the University of Antwerp were interested in quantifying the responses of juveniles of the common lizard to natural predator cues to determine whether the behavior is learned or congenital. Seventeen juvenile common lizards were exposed to the chemical cues of the viper snake. Their responses, in number of tongue flicks per twenty minutes, are presented in the following

Find and interpret a 90%confidence interval for the mean number of tongue flicks per 20minutes for all juvenile common lizards. Assume a population standard deviation of 190.0.

One-Sided One-Mean t-Intervals. Presuming that the assumptions for a one-mean t-interval are satisfied, we have the following formulas for (1-ฮฑ)-level confidence bounds for a population mean ฮผ:

  • Lower confidence bound: xยฏ-tฮฑ-s/ฯ€
  • Upper confidence bound: x^+tฮฑยทs/n

Interpret the preceding formulas for lower and upper confidence bounds in words.

Prices of New Mobile Homes. Recall that a simple random sample of 36 new mobile homes yielded the prices, in thousands of dollars, shown in Table 8.1on page 315 . We found the mean of those prices to be \(63.28thousand.

a. Use this information and Procedure 8.1on page 322 to find a 95%confidence interval for the mean price of all new mobile homes. Recall that ฯƒ=\)7.2thousand.

b. Compare your 95%confidence interval in part (a) to the one found in Example 8.2(c) on page 317 and explain any discrepancy that you observe.

Suppose that you will be taking a random sample from a population and that you intend to find a 95%confidence interval for the population mean ฮผ. Which sample size, 25or30 , will result in the confidence interval giving a more accurate estimate of ฮผ?

A simple random sample of size 17 is taken from a population with an unknown standard deviation. A normal probability plot of the data reveals an outlier but is otherwise roughly linear. Can you reasonably apply the t-interval procedure? Explain your answer.

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