Final answer:
With a 95% confidence level, approximately 76 out of 80 confidence intervals are expected to contain the true population proportion.
Step-by-step explanation:
With a 95% confidence level, we expect that approximately 95 out of 100 confidence intervals will contain the true population proportion. Therefore, in the context of your question when referring to 80 confidence intervals, we would expect about 76 (which is 95% of 80) of these intervals to contain the true population proportion. This is based on the principle that if we repeatedly construct confidence intervals for a population parameter, a certain percentage of those intervals, specified by the confidence level, are expected to contain the true population proportion.