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A 95% confidence interval for a parameter estimate can be interpreted as follows:

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A 95% confidence interval for a parameter estimate can be interpreted as follows:

A.

The probability that the real value of the parameter is within this interval is 95%.

B.

The probability that the real value of the parameter is outside this interval is 95%.

C.

The probability that the estimated value of the parameter is within this interval is 95%.

D.

The probability that the estimated value of the parameter is outside this interval is 95%.

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