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Suppose that a 95% confidence interval for the proportion of teen drivers who were involved in a car accident is found to be (0.1425, 0.2875).
-Does the 95% confidence level imply that P(0.1425

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Use the following information for questions:
 Suppose that a 95% confidence interval for the proportion of teen drivers who were involved in a car accident is found to be (0.1425, 0.2875).
-Does the 95% confidence level imply that P(0.1425 < p < 0.2875) = 0.95?

Quizplus · Accepted Answer

The 95% confidence interval means that if we were to take many samples and compute a confidence interval for each, we would expect 95% of those intervals to contain the true population proportion, p. It does not mean that there is a 95% probability that the true proportion lies within any given interval.

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