$2.$ Please use the gss$2018$ or issp$2009\_$ea data sets uploaded to Moodle for the following exercises. Just choose one of these two datasets for the following exercises.

$3.$ Please do the following exercises using R and interpret the results:

A$.$ Choose one nominal$-$level variable, one ordinal$-$level variable, and one interval$-$ratio$-$level variable from the dataset of your choice and report appropriate descriptive statistics $($including central tendency and dispersion$)$ for each variable.

i$.$ Choose your variables carefully. The variables selected can be used to answer Problems E ~ H$.$ Make sure one of them should be considered the independent variable with reasonable rationale.

ii$.$ Please make sure that you handle the missing values properly. For this and the following exercises, you may need to recode the variables $($e$.$g$.,$ recode an ordinal$-$level variable to an interval$-$ratio$-$level variable or vice versa$).$

B$.$ Use the variables selected above and construct appropriate graphs.

C$.$ Use the nominal variable selected and construct the $95\%$ confidence interval for the population proportion. Interpret the result.

D$.$ Use the interval$-$ratio$-$level variable selected and construct the $99\%$ confidence interval for the population mean. Interpret the result.

E$.$ Perform a hypothesis test for two sample means with the selected variables. Interpret the result. Please use the five$-$step hypothesis$-$testing model to explain your testing process and the results for this and the following exercises.

F$.$ Conducf a hypothesis test for two sample proportions with the selected variables. Interpret the result.

G$.$ Choose two variables and run a one$-$way analysis of variance. Interpret the result.

H$.$ Choose two variables and conduct the bivariate correlation analysis and linear regression analysis. Report and interpret the results. You should report the regression results in detail, including the F$-$test for the model, R$2,$ the coefficient of the independent variable and its significance test result.