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Constructing and Interpreting Confidence Intervals. In Exercises 13鈥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.

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). Construct a 95% confidence interval for the proportion of medical malpractice lawsuits that are dropped or dismissed.

Short Answer

Expert verified

(a)Thebest point estimate of the proportion ofmedical malpractice lawsuits that are dropped or dismissed is equal to 0.697.

(b)The margin of error is equal to 0.0257.

(c)The 95% confidence interval estimate of the population proportion ofmedical malpractice lawsuits that are dropped or dismissed is equal to (0.671, 0.723).

(d) There is 95% confidence that the true proportion of medical malpractice lawsuits that are dropped or dismissed will lie between the values 0.671 and 0.723.

Step by step solution

01

Given information

In a sample of 1228 medical malpractice lawsuits, 856 were dropped or dismissed.

02

Compute the sample proportion

(a)

The best point estimate of the proportion of medical malpractice lawsuits that are dropped or dismissed is computed below:

p^=8561228=0.697

Thus, the sample proportion of medical malpractice lawsuits that are dropped or dismissed equal to 0.697 is the best point estimate of the proportion of medical malpractice lawsuits that are dropped or dismissed.

03

Compute the margin of error

(b)

The confidence level is equal to 95%. Thus, the corresponding level of significance is equal to 0.05.

From the standard normal distribution table, the right-tailed value of z2 for=0.05 is equal to 1.96.

The margin of error is calculated below:

E=1.960.6970.3031228=0.0257

Thus, the margin of error is equal to 0.0257.

04

Compute the confidence interval

(c)

The formula for computing the confidence interval estimate of the population proportion is written below:

CI=p^-E,p^+E

The 95% confidence interval becomes equal to:

CI=0.697-0.0257,0.697+0.0257=0.671,0.723

Therefore, the 95% confidence interval estimate of the population proportion of medical malpractice lawsuits that are dropped or dismissed is equal to (0.671, 0.723).

05

Interpretation of the confidence interval

(d)

There is 95% confidence that the true proportion of medical malpractice lawsuits that are dropped or dismissed will lie between the values, 0.671 and 0.723.

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