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%.
Answer: A
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