Using Correct Distribution. In Exercises 5–8, assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) Find the critical valuetα2, (b) find the critical value zα2, or (c) state that neither the normal distribution nor the t distribution applies.

Miami Heat Salaries Confidence level is 95%, σis not known, and the normal quantile plot of the 17 salaries (thousands of dollars) of Miami Heat basketball players is as shown.

Short Answer

Expert verified

Neither the normal distribution nor the t distribution is applicable.

Step by step solution

01

Given information

A sample of salaries is of Miami Heat Basketball players is considered with a sample size of 17. A normal quantile plot is constructed for the values.

02

Appropriate method

The following points are used to decide the appropriate method for constructing the confidence interval estimate of the population mean:

  • Ifis unknown and the sample is either from a normally distributed population or the sample size is greater than 30, use the t-distributiontα2
  • Ifis known and the sample is either from a normally distributed population or the sample size is greater than 30, use the standard normal distributionzα2.
  • If the sample is not from a normally distributed population, do not use any of the above two distributions. Rather, use the bootstrap sampling method.
03

Interpretation of the normal quantile plot

It can be observed from the given graph that the points are not close to the straight line. This implies that the sample data are not from a normally distributed population. The distribution is skewed.

04

Deciding the correct distribution

Since the sample is not from a normally distributed population,neither the normal distribution nor the t distribution can be applied.

Thus, option (c) is correct.

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Most popular questions from this chapter

In Exercises 1–3, refer to the accompanying screen display that results from the Verizon airport data speeds (Mbps) from Data Set 32 “Airport Data Speeds” in Appendix B. The confidence level of 95% was used.

Interpreting a Confidence Interval The results in the screen display are based on a 95%confidence level. Write a statement that correctly interprets the confidence interval.

Constructing and Interpreting Confidence Intervals. In Exercises 13–16, use the given sample data and confidence level. In each case, (a) find the best point estimate of the population proportion p; (b) identify the value of the margin of error E; (c) construct the confidence interval; (d) write a statement that correctly interprets the confidence interval.

Eliquis The drug Eliquis (apixaban) is used to help prevent blood clots in certain patients. In clinical trials, among 5924 patients treated with Eliquis, 153 developed the adverse reaction of nausea (based on data from Bristol-Myers Squibb Co.). Construct a 99% confidence interval for the proportion of adverse reactions.

In Exercises 1–3, refer to the accompanying screen display that results from the Verizon airport data speeds (Mbps) from Data Set 32 “Airport Data Speeds” in Appendix B. The confidence level of 95% was used

Airport Data Speeds Refer to the accompanying screen display.

a. Express the confidence interval in the format that uses the “less than” symbol. Given that the original listed data use one decimal place, round the confidence interval limits accordingly.

b. Identify the best point estimate of and the margin of error.

c. In constructing the confidence interval estimate of , why is it not necessary to confirm that the sample data appear to be from a population with a normal distribution?

Bootstrap Sample Given the sample data from Exercise 2, which of the following are not possible bootstrap samples?

a. 12, 19, 13, 43, 15

b. 12, 19, 15

c. 12, 12, 12, 43, 43

d. 14, 20, 12, 19, 15

e. 12, 13, 13, 12, 43, 15, 19

In Exercises 5–8, use the given information to find the number of degrees of freedom, the critical values χL2andχR2, and the confidence interval estimate of σ. The samples are from Appendix B and it is reasonable to assume that a simple random sample has been selected from a population with a normal distribution.

Weights of Pennies 95% confidence;n= 37,s= 0.01648 g.

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