Final answer:
To find the 95% confidence interval for the difference between the two population proportions, we can use the formula for the confidence interval. This will give us the range within which we can confidently estimate the difference between the two proportions.
Step-by-step explanation:
We are given two samples, one of 230 shoppers choosing a product at the regular price and another of 270 shoppers choosing a product at a special price. We also know that 117 shoppers from the regular price sample claimed to check the price, while 178 shoppers from the special price sample made this claim. To find the 95% confidence interval for the difference between the two population proportions, we can use the formula for the confidence interval:
CI = (p^x - p^y) ± z * sqrt((p^x * (1 - p^x) / nx) + (p^y * (1 - p^y) / ny))
Where p^x and p^y are the sample proportions, nx and ny are the sample sizes, and z is the z-score corresponding to the desired confidence level. Substituting the given values, we get:
CI = (117/230 - 178/270) ± 1.96 * sqrt((117/230 * (1 - 117/230) / 230) + (178/270 * (1 - 178/270) / 270))
Calculating this expression will give us the 95% confidence interval for the difference between the two population proportions.