a confidence level of 95% means: 95% of the time, sample percentages will fall above the mean. 95% of the…

a confidence level of 95% means: 95% of the time, sample percentages will fall above the mean. 95% of the time, population data will fall between 149.61 and 150.39. the mean of 95% of the adults in the sample was 150. done

a confidence level of 95% means: 95% of the time, sample percentages will fall above the mean. 95% of the time, population data will fall between 149.61 and 150.39. the mean of 95% of the adults in the sample was 150. done

Answer

Answer: None of the above options are correct. A 95% confidence level means that if we take many samples and construct confidence - intervals in the same way, about 95% of those intervals will contain the true population parameter.

Explanation:

Step1: Analyze option 1

Sample percentages are not related to the definition of confidence level in this way. Confidence level is about intervals containing population parameters, not sample percentages relative to the mean.

Step2: Analyze option 2

A 95% confidence level is not about specific values (149.61 and 150.39) for population data without context of a calculated interval for a particular parameter.

Step3: Analyze option 3

The confidence level has nothing to do with the mean of a certain percentage of adults in a sample. It is about the long - run frequency of intervals containing the population parameter.