Question

This question is about the 'Day' variable. Assuming that the sample is representative of the population of all visitors to the website, is there evidence in the data at the 0.01 level of significance to conclude that the proportion of customers who visit the website on a Thursday (Thu) is different than 15%?

Answer 1

To determine if the proportion of customers visiting a website on Thursday is different from 15%, a hypothesis test is used. The test involves comparing a test statistic or p-value to a significance level of 0.01.

Step-by-step explanation:

The question is asking whether there is statistical evidence to suggest that the proportion of customers who visit a website on a Thursday is different from 15%. To answer this, one would conduct a hypothesis test using the given significance level of 0.01. The null hypothesis would typically state that the true proportion is equal to 15% (p = 0.15), while the alternative hypothesis would state that the true proportion is not equal to 15% (p ≠ 0.15). The test would involve calculating a test statistic and comparing it with a critical value or using a p-value to make a decision about the null hypothesis. If the computed p-value is less than the significance level of 0.01, the null hypothesis would be rejected, providing evidence that the proportion is indeed different from 15%.