You obtain a dataset from a random sample. • you double-checked your dataset, and there were no typos, and no errors. • all conditions were met to develop a confidence interval. • you develop a 97% confidence interval for the population mean µ, and your confidence interval is 74.3 < µ < 78.3. • you double-checked your calculations, and everything was done correctly. question: later, you find out that the actual population mean is µ = 71. why doesn’t your confidence interval contain the actual population mean?

Interval is given with 97% confidence. Thus there is 3% probability that interval is not true.

Step-by-step explanation:

In Statistics, estimated intervals are given with some confidence level. In this example person develop the interval with 97% confidence.

Statistically, this means that the person can be 97% sure (not 100%)  that population mean is 74.3 < µ < 78.3. There is still 3% probability that population mean falls outside of the interval.

Small sample size may also lead wrong estimates.

you didn't give me the choices, so i will just give you the graph so you can look at your choices and choose the right one.