Final answer:
The task is to create 95% confidence intervals for baseball game attendance before and after the Oakland Athletics' move to Bay Area to determine if attendance changed after the move. This involves statistical calculations using the mean, standard deviation, and t-distribution.
Step-by-step explanation:
The question pertains to developing 95% confidence intervals for two groups of data representing baseball game attendances before and after the Oakland Athletics' move to the Bay Area. To construct these confidence intervals, one needs to understand the sample means, standard deviations, and sample sizes for both groups. The confidence intervals would then inform us whether there is a significant change in attendance following the move.
A step-by-step explanation would typically involve calculating the sample mean and standard deviation for both groups, then using the t-distribution (since the population standard deviation is likely unknown) and the respective degrees of freedom to determine the critical t-value. This t-value is then used to calculate the margin of error. Adding and subtracting this margin of error from the sample mean gives the confidence interval.
Based on these confidence intervals, one would then compare the two intervals to see if there is an overlap. If there is little to no overlap between the intervals, we might conclude that there is a change in attendance after the Athletics' move to the area.