Which of the following is the best explanation for what a 95% confidence interval captures? 

A. A 95% confidence interval captures our level of assurance that our statistical conclusions are at cast 95% valid. 

B. A 95% confidence interval captures the range of possible averages we might obtain for a set of data if we collected new data again and again from many samples. 

C.. A 95% confidence interval captures the level of variance in the scores. 

d. A 95% confidence interval captures the probability to which a Type I error (which is 5% per psychology standards) is acceptably.

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confidence interval indicates a range of values that you can be 95 c... View the full answer