If you could kindly help me with just parts B, C, and D, I would greatly appreciate it. Below is the pictures of the exercises but I only need help with parts B ,C and D. Just wanted to clarify if for part B if you could kindly Go two digits past the decimal point - do not round&do not include any leading zeroes Use whole numbers for the "N" column.

1. (Datasets: nes, nesD. Variables: fedspend_scale, pid_x, wt.) Here is a widely observed difference between Democrats and Republicans: Democrats are more likely than Republicans to favor government spending. Is this difference borne out by the data? Dataset nes contains the numeric variable fedspend_scale, which measures respondents' spending opinions on a scale that runs from 0 (oppose government spending) to 16 (support government spending). This is the dependent variable. Use the 7-point party identification scale (pid_x) as the independent variable. A. If Democrats are more likely than Republicans to favor spending, then Democrats will have (Check one.) O a higher mean than do Republicans on fedspend_scale. O about the same mean as do Republicans on fedspend_scale. O a lower mean than do Republicans on fedspend_scale. B. Run compmeans to obtain the mean score on the dependent variable, fedspend_scale, for each category of the independent variable, pid_x. (Hint: Remember that compmeans requires "$" in variable names-for example, nes$fedspend_scale. Also, this is nes, so remember to include the weight variable, wt.) Write the results in the table that follows. Party ID Mean N Strong Democrat Weak Democrat Independent Democrat Independent Independent Republican Weak Republican Strong Republican Total Party ID Mean |NC. Overall. does your analysis support the idea that Democrats are more likely than Republicans to support government spending? (Circle one.) Yes No Briefly explain your answer. D. The mean comparison results contain two anomaliestwo data points that do not fit the overall pattern. Briefly describe the two anomalies. E. Use svyboxplot to obtain a box plot of the relationship. (Hint: Remember that svyboxplot uses the design dataset. nesD.) Apply all the box plot enhancements you learned in this chapter: add an xaxis label ("Party ID"); add ay-axis label ("Pro-spending Scale Score"); provide a main title (\"Pro-government Spending Scale. by Party ID"); request light gray boxes {col="'lightgray"'); and dram.r the box widths in proportion to the sizes of the party identification groups {vanNidth=T]. Print the box plot. F. Examine the box plot you created. Suppose someone made the following statement: "Strong Democrats are more cohesive in their position on government spending than are Strong Republicans." Based on your examination of the box plot. is this statement correct? (Circle one.) Yes No Briefly explain your