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Explain what ​"95​% ​confidence" means in a 95​% confidence interval. What does ​"95​% ​confidence" mean in...

Explain what ​"95​% ​confidence" means in a 95​% confidence interval. What does ​"95​% ​confidence" mean in a 95​% confidence​ interval? A. If 100 different confidence intervals are​ constructed, each based on a different sample of size n from the same​ population, then we expect 95 of the intervals to include the parameter and 5 to not include the parameter. B. The probability that the value of the parameter lies between the lower and upper bounds of the interval is 95​%. The probability that it does not is 5​%. C. The confidence interval includes 95​% of all possible values for the parameter. D. The value of the parameter lies within 95​% of a standard deviation of the estimate.

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Option - A) If 100 different confidence intervals are constructed , each based on a different sample of size n from the same population, then we expect 95 of the intervals to include parameter and 5 to not include the parameter.

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