Step 1 :The question is asking for the meaning of "90% confidence" in a confidence interval. This is a concept in statistics, and it doesn't require any calculations or Python code to answer.
Step 2 :The confidence level of a confidence interval quantifies the level of confidence that the parameter lies within the interval. In other words, a 90% confidence interval means that we would expect 90% of the confidence intervals to contain the population parameter if we drew many samples from the same population and calculated the confidence interval for each sample.
Step 3 :So, the correct answer is option A: If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 90 of the intervals to include the parameter and 10 to not include the parameter.
Step 4 :Final Answer: \(\boxed{\text{A. If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 90 of the intervals to include the parameter and 10 to not include the parameter.}}\)