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Testing Claims About Proportions. In Exercises 9–32, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Use the P-value method unless your instructor specifies otherwise. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section.

Medical Malpractice In a study of 1228 randomly selected medical malpractice lawsuits, it was found that 856 of them were dropped or dismissed (based on data from the Physicians Insurers Association of America). Use a 0.01 significance level to test the claim that most medical malpractice lawsuits are dropped or dismissed. Should this be comforting to physicians?

Short Answer

Expert verified

Nullhypothesis: The proportion of medical malpractice lawsuits subjects dropped or dismissed is equal to 50%.

Alternativehypothesis: The proportion of medical malpractice lawsuits subjects dropped or dismissed is more than 50%.

Test Statistic: 13.807

Critical Value: 2.3263

P-Value: 0.000

The null hypothesis is rejected.

There is enough evidence to support the claim that most medical malpractice lawsuits subjectswere dropped or dismissed.

Since most malpractice lawsuits are either dropped or dismissed, it will be quite comforting for doctors and physicians as they would avoid any pain due to legal proceedings.

Step by step solution

01

Given information

Out of 1228 randomly selected medical malpractice lawsuits, 856 of them were dropped or dismissed.

02

Hypotheses

The null hypothesis is written as follows:

The proportion of medical malpractice lawsuits subjects who were dropped or dismissedequals50%.

\({H_0}:p = 0.5\)

The alternative hypothesis is written as follows:

The proportion of medical malpractice lawsuits subjects dropped or dismissed is more than 50%.

\({H_1}:p > 0.5\)

The test is right-tailed.

03

Sample size, sample proportion, and population proportion

The sample sizeequalsn=1228.

The sample proportion of medical malpractice lawsuits subjects dropped or dismissed isas follows:

\[\begin{array}{c}\hat p = \frac{{856}}{{1228}}\\ = 0.697\end{array}\]

The population proportion of medical malpractice lawsuits subjects dropped or dismissed is equal to 0.5.

04

Test statistic

The value of the test statistic is computed below:

\(\begin{array}{c}z = \frac{{\hat p - p}}{{\sqrt {\frac{{pq}}{n}} }}\\ = \frac{{0.697 - 0.5}}{{\sqrt {\frac{{0.5\left( {1 - 0.5} \right)}}{{1228}}} }}\\ = 13.807\end{array}\)

Thus, z=13.807.

05

Critical value and p-value

Referring to the standard normal distribution table, the critical value of z at\(\alpha = 0.01\)for a right-tailed test equals2.3263.

Referring to the standard normal distribution table, the p-value for the test statistic value of 13.807 equals0.000.

Since the p-value is less than 0.05, the null hypothesis is rejected.

06

Conclusion of the test

There is enough evidence to support the claim that the proportion of medical malpractice lawsuits subjects dropped or dismissed is greater than 0.5.

Since most malpractice lawsuits are either dropped or dismissed, it should be comforting for the physicians as they can be relieved without any trial.

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Most popular questions from this chapter

Type I and Type II Errors. In Exercises 29–32, provide statements that identify the type I error and the type II error that correspond to the given claim. (Although conclusions are usually expressed in verbal form, the answers here can be expressed with statements that include symbolic expressions such as p = 0.1.).

The proportion of people with blue eyes is equal to 0.35.

Final Conclusions. In Exercises 25–28, use a significance level of = 0.05 and use the given information for the following:

a. State a conclusion about the null hypothesis. (Reject H0or fail to reject H0.)

b. Without using technical terms or symbols, state a final conclusion that addresses the original claim.

Original claim: More than 58% of adults would erase all of their personal information online if they could. The hypothesis test results in a P-value of 0.3257.

Testing Hypotheses. In Exercises 13–24, assume that a simple random sample has been selected and test the given claim. Unless specified by your instructor, use either the P-value method or the critical value method for testing hypotheses. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim.

Cans of Coke Data Set 26 “Cola Weights and Volumes” in Appendix B includes volumes (ounces) of a sample of cans of regular Coke. The summary statistics are n = 36, x = 12.19 oz, s = 0.11 oz. Use a 0.05 significance level to test the claim that cans of Coke have a mean volume of 12.00 ounces. Does it appear that consumers are being cheated?

Critical Values. In Exercises 21–24, refer to the information in the given exercise and do the following.

a. Find the critical value(s).

b. Using a significance level of = 0.05, should we reject H0or should we fail to reject H0?

Exercise 18

Confidence interval Assume that we will use the sample data from Exercise 1 “Video Games” with a 0.05 significance level in a test of the claim that the population mean is greater than 90 sec. If we want to construct a confidence interval to be used for testing the claim, what confidence level should be used for the confidence interval? If the confidence interval is found to be 21.1 sec < μ< 191.4 sec, what should we conclude about the claim?

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