3. (Dataset: GSS. Variables: femrole, wtss.) Two pundits are arguing about the general public's views on the role of women in the home and in politics. Pundit 1: \"Our society has a minority of traditionally minded individuals who think that the proper 'place' for women is taking care of the home and caring for children. This small but vocal group of traditionalists aside, the typical adult supports the idea that women belong in work and in politics.\" Pundit 2: \"Poppycock! It's just the opposite. The extremist feminist crowd has distorted the overall picture. The typical view among most citizens is that women should be in the home, not in work and politics.\" A. Dataset GSS (file name: gss.sav) contains femrole, an interval-level variable that measures respondents' attitudes toward women in society and politics. Scores can range from 0 (women belong in the home) to 9 (women belong in work and politics). 0 If Pundit 1 is correct, femrole will have (circle one) a negative skew. no skew. a positive skew. o If Pundit 2 is correct, femrole will have (circle one) a negative skew. no skew. a positive skew. o If Pundit 1 is correct, femrole's mean will be (circle one) lower than its median. the same as its median. higher than its median. 0 If Pundit 2 is correct, femrole's mean will be (circle one) lower than its median. the same as its median. higher than its median. B. Perform a frequencies analysis of fgmrgle. Obtain the mean, median, and mode, as well as skewness. Obtain a bar chart with percentages. Fill in the table that follows. Statistics for m Variable Mean Median Mode Skewncss C. Create a bar chart of We. Be sure to use sample weights so the distribution is nationally representative. Override the default bar ll color with a color of your choice. Print the bar chart. D. Consider the evidence you obtained in parts B and C. Based on your analysis, whose assessment is more accurate? (citcle one) Pundit 'l's Pundit 2's 0 Citing specic evidence obtained in parts B and C, explain your reasoning. CI . (Dataset: GSS. Variables: attend, W.) The GSS dataset (le name: ggsasgx) provides a rich array of variables that permit scholars to study religiosity in the adult population. The GSS dataset contains attend, a 9point ordinal scale that measures how often respondents attend religious services. Values can range from 1 ("Never\") to 9 ("More than once a week"). A. The shell of a bar chart is given below. The categories of attend appear along the horizontal axis. What would a bar chart of attend look like if this variable had maximum dispersion? Sketch inside the axes a bar chart that would depict maximum dispersion. MWWMWW {Hg-5'3, ffixffsy miffy hf; B. What would a bar chart of attend look like if this variable had no dispersion? Sketch inside the axes a bar chart that would depict no dispersion. MWWMWW 5P\"?! Hf Hr, ffs'f 0\" 4r #8 C. Obtain frequencies output and a bar chart for attend. In the main Frequencies window, make sure that the \"Display frequencies table\" box is checked. |n Statistics, see that all the boxes are unchecked. In Charts, request a bar chart with percentages. Based on your results, complete the following table. attend Value Frequency\" Percent Cumulative Percent Never 7 1 1.33 ? ? Less than once a year 167.88 ? ? Once a year 377.98 ? ? Several times a year 316.54 ? ? Once a month 198.52 ? ? 2 to 3 times a month 249.13 ? ? Nearly every week 126.56 ? ? Every week 498.02 ? ? More than once a week 204.03 ? 100.00% Total 2,850 100.00% D. 'Weighted frequencies rounded to two decimal places E. Print the bar chart you obtained for the last part of this exercise. F. Based on your examination of the frequency distribution, - the mode of attend is - the median of attend is . G. Based on your examination of the frequency distribution and bar chart, you would conclude that attend has (circle one) low dispersion. high dispersion