Note: Q12-Q14 relate to each other. A researcher wants to know if more education will have a later effect on how much they watch television. They conducted a survey of 2000 people which asks about education level-- measured by whether the respondent has a college degree-- and the number of hours of TV viewed in last week. • The claim that having a college degree makes no systematic difference in how much TV you watch would be an example of: A null hypothesis An alternative hypothesis A theory Critical thinking QUESTION 13 Based on the scenario from Q12: The researcher provides you with the mean hours of TV viewed for the respondents without a college degree (20.9) and for the respondents with a college degree (18.3). • What other information, if any, would be required to conclude that the estimates are really different between the two groups? The standard deviation in TV hours and number of people in the overall sample The standard deviation in TV hours and number of people in each of the two groups (no college degree and college degree) The variance in TV hours and skewness of the distribution for each of the two groups. Knowing the two means is all the information we need, because we have such a large sample. QUESTION 14 Based on the scenario from Q12: • Given the data that was collected, the most appropriate statistical test to use to test the hypothesis is probably t-test Cramer's V Pearson's corelation coefficient chi-squared