6 points f. Is the P value reported by the software appropriate for the test that you are doing, or not? Explain why it is, or is not, correct. If it is not correct, what P value should you use instead? (Hint: Is the alternative hypothesis one-sided or two-sided?) 4 points g. Using an glevel (signicance level) of .05 what is your decision about the null hypothesis? Information for homework 4: Use the data from the 2018 General Social Survey. The raw data are in the file gss 2018 tvhours . txt; a frequency distribution of the variable is in the file gss 2018 tvhours . x1s; and the data are available in the Art of Stat app Inference for a Population mean as Data From Textbook, and the Dataset TV Hours. The data are a random sample from the adult population in the US. Variable Hours watching TV each day TVHOURS Survey question: On the average day, about how many hours do you personally watch television? Descriptive statistics calculated at https://istats.shinyapps.io/Inference mean/ Descriptive Statistics: Sample Sample Sample Standard Size Mean Deviation 1,555 2.938 2.837Descriptive Statistics: Histogram & Boxplot 400- Sample Size Sample Mean Sample Standard Deviation 300- 1,555 2.938 2.837 Frequency 200 Estimate of Population Mean: 100- Point Standard t-score Margin of Estimate Error (df=1,554) Error 10 15 20 25 2.938 0.07195 1.9615 + 0.1411 Hours Watching TV (2018) O O O Confidence Interval: Population Parameter Lower Bound Upper Bound Confidence Level Mean 2.797 3.079 95% 95% Confidence Interval [2.797, 3.079] 2.5 2.6 2.7 2.8 2.9 3.0 3.1 3.2 3.3 3.4 X Population Mean Hours Watching TV (2018)Hem; um um CUR}? arm paste your grupn Here Suppose that your reading of professional research on the topic leads you to the hypothesis that, on average, adults in the US watch three (3) hours of TV each day. Use the variable hours of TV watched each day {TI/HOURS) from the 2018 General Social Survey to investigate this hypothesis. Descriptive Statistics: Histogram & Boxplot 400- Sample Size Sample Mean Sample Standard Deviation 1,555 2.938 2.837 300- Frequency 200 Test Statistic: 100 Null Value Standard Error Test Statistic t n 3 0.07195 -0.8581 0 5 10 15 20 25 Hours Watching TV (2018) oo O O O Hypothesis Test: Population Parameter Null Hypothesis Alternative Hypothesis Test Statistic t P-value Mean u H = 3 H # 3 -0.8581 0.3910 t Distribution with df = 1554 Ho: M = 3, Ha: | # 3. Test Statistic: t = -0.858, P-value = 0.391 0.609 0. 1955 1 1 0.1955 -4 -3 -2 0 N 3 4 t = - 0.858 0.858