Step-by-step explanation:
If the statistician constructs 90% confidence intervals for each of the 300 samples, then we would expect approximately 90% of those intervals to contain the true population parameter.
This is because a 90% confidence interval means that if we were to repeat the sampling process many times and construct a confidence interval each time, approximately 90% of the intervals would contain the true population parameter and approximately 10% of the intervals would not.
Therefore, for 300 confidence intervals, we would expect approximately 90% of them to contain the true population parameter, which is:
0.9 x 300 = 270
So, we would expect approximately 270 of the 300 confidence intervals to contain the true population parameter.
