We are given the output from the Inference for a Population Mean WebApp. The results relate to a formal hypothesis test to explore whether there is convincing evidence that young adults watch fewer than 3 hours of TV each day. Use this output to address the items below. What type of test is this? Left-tailed Two-tailed Right-tailed How would you describe the shape / distribution of the sample data? It is impossible to determine Skewed right Skewed left Bell-shaped Uniform Assuming a level of significance of 0.05, what decision would we make about the null hypothesis? We fail to reject the null hypothesis. We have disproven the null hypothesis. We reject the null hypothesis. We accept the null hypothesis. We have proven the null hypothesis. What does this mean with respect to the alternative hypothesis? We reject the alternative hypothesis. We fail to reject the alternative hypothesis. We have sufficient evidence to support the alternative hypothesis. We have insufficient evidence to support the alternative hypothesis. We have disproven the alternative hypothesis. We have proven the alternative hypothesis. What conclusion can we make about the amount of TV that young adults watch? We have sufficient evidence to conclude that, on average, young adults watch greater than 3 hours of TV each day. We have sufficient evidence to conclude that, on average, young adults watch fewer than

Descriptive Statistics: Histogram Boxplot 400 Sample Sample Sample Standard Size Mean Deviation 300 1,555 2.938 2.837 Frequency 200 Test Statistic: 100- Null Value Standard Error Test Statistic t 0 5 10 15 20 25 3 0.07195 -0.8581 Hours Watching TV (2018) - oo o 00000 0 Hypothesis Test: Population Parameter Null Hypothesis Alternative Hypothesis Test Statistic t P-value Mean u H = 3 H