A 90% confidence interval for a population parameter means that if a large number of confidence intervals were constructed from repeated samples, then on average, 90% of these intervals would contain the true parameter.
a. True
b. False

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Answer:

The correct option is a) True

Step-by-step explanation:

Consider the provided statement.

A 90% confidence interval for a population parameter means that if a large number of confidence intervals were constructed from repeated samples, then on average, 90% of these intervals would contain the true parameter

First understand what is 90% confidence interval.

The level of confidence describes the uncertainty associated with a method of sampling.

A confidence level of 90 percent means that we would expect the population parameter to be included in 90 percent of the interval estimates.

From the above definition of confidence level we can concluded that the provided statement is true.

Hence, The correct option is a) True

Answer:

Which confidence interval is most likely to contain the population parameter?

✔ between 7.0 and 9.0 hours of sleep

Step-by-step explanation:

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