Determine whether the statement below makes sense or does not make sense. Explain clearly. Based on our​ sample, the​ 95% confidence interval for the mean amount of television watched by adults in a nation is 1.9 to 3.5 hours per day.​ Therefore, there is​ 95% chance that the mean for all adults in the nation will fall somewhere in this range and a​ 5% chance that it will not. A. The statement makes sense. There is​ 95% probability that the confidence interval limits actually contain the true value of the population​ mean, so the probability it does not fall in this range is ​100%−​95% =​5%.
B. The statement makes sense. There is​ 5% probability that the confidence interval limits do not contain the true value of the sample​ mean, so the probability it does not contain the true value of the population mean is also​ 5%.
C. The statement does not make sense. The probability the population mean is greater than the upper limit is​ 5% and the probability it is less than the lower limit is​ 5%, so the probability it does not is ​5%+​5%=​10%.
D. The statement does not make sense. The population mean is a fixed constant that either falls within the confidence interval or it does not. There is no probability associated with this.