Alpine Research Has Conducted a Survey of Online Shoppers

Alpine Research has conducted a survey of online shoppers.Simple random samples of 200 shoppers aged 18-to-25, 100 shoppers aged 26-to-40, and 100 shoppers aged 41-to-65 were selected for the survey.In the 18-to-25 sample, 80 shoppers (40%) expressed concerned about online security.Fifty of the 26-to-40 sample (50%) gave the same response.In the 41-to-65 sample, 66 shoppers (66%) expressed concern about online security. Below is a (partial) table of expected frequencies that you will use to conduct a chi-square test of the null hypothesis that the proportion of shoppers who are concerned about online security is the same in all three populations represented.The significance level for the test is 5%.Suppose the p-value for the sample result turns out to be .0001.What should you conclude?
Expected Frequencies

A) The test provides strong evidence that each of the three age categories has a different proportion of concerned shoppers.
B) The test provides strong evidence that the proportion of concerned shoppers is the same for two of the three age categories.
C) The test provides strong evidence that the proportion of concerned shoppers is the same for all three age categories.
D) The test provides strong evidence that the proportion of concerned shoppers is not the same for all three age categories.