A survey of 700 adults from a certain region asked, "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?" The results indicated that 52% of the females and 41% of the males answered window tinting. The sample sizes of males and females were not provided. Suppose that of 400 females, 208 reported window tinting as their preferred luxury upgrade of choice, while of 300 males, 123 reported window tinting as their preferred luxury upgrade of choice. Complete parts (a) through (d) below. a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.05 level of significance? State the null and alternative hypotheses, where It, is the population proportion of females who said they prefer window tinting as a luxury upgrade and it2 is the population proportion of males who said they prefer window tinting as a luxury upgrade. O A. HO: my = 2 OB. HO: Ty # #12 H1: 141 = 12 O C. Ho: my = #2 OD. HO: my # #2 H1: 11 #2 H1 : 11 12 Determine the value of the test statistic. ZSTAT = (Type an integer or a decimal. Round to two decimal places as needed.) Determine the critical value(s) for this test of hypothesis. The critical value(s) is (are) . Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.)State the conclusion. the null hypothesis. There is evidence to support the claim that there is a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade. b. Find the p-value in (a) and interpret its meaning. The p-value in part (a) is. (Type an integer or a decimal. Round to three decimal places as needed.) What does the p-value mean? O A. The p-value is the probability of rejecting the null hypothesis if the test were repeated for different samples. O B. The p-value is the probability of obtaining a result at least as extreme as the one obtained with this sample given that the null hypothesis is true. O C. The p-value is the probability that the null hypothesis is true. O D. The p-value is the probability of falsely rejecting the null hypothesis. c. Construct and interpret a 95% confidence interval estimate for the difference between the proportion of males and females who said they prefer window tinting as a luxury upgrade. The confidence interval is |to]. (Type integers or decimals. Round to four decimal places as needed. Use ascending order.) What does the confidence interval mean? A researcher can be confident that the difference in the population proportions of males and females who said they prefer window tinting as a luxury upgrade is the interval.d. What are your answers to (a) through (c) if 132 males said they prefer window tinting as a luxury upgrade? Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.05 level of significance? State the null and alternative hypotheses, where it, is the population proportion of females who said they prefer window tinting as a luxury upgrade and 2 is the population proportion of males who said they prefer window tinting as a luxury upgrade. OB. HO: my # #2 O A. HO: 1 = #2 H1: 1 = 12 Hy : 1 > #2 OD. HO: 1 # #2 O C. Ho: my = #2 H1 : 1 1 > 12 Hy: 1 # 12 OF. HO: T1 = 12 OE. HO: my # 12 Hy: my