Semester Project For this summer's project we are going to use data from the General Social Survey (GSS). The GSS is a sociological survey created and regularly collected since 1972 by the National Opinion Research Center at the University of Chicago. It is funded by the National Science Foundation. The GSS collects information and keeps a historical record of the concerns, experiences, attitudes, and practices of residents of the United States. We are going to look at data collected in 2018 by the GSS. Click hgrg to open the data in StatCrunch. You will find the variables listed below in the data le. Variable Description GSS Year The year the data was collected _ Marital status Are you currently married, widowed, divorced, separated, never married Children Number of Children Respondent' 5 highest degree Less than High School, High School, Junior College, Highest Degree Bachelor, Graduate R Income Respondents' income Totalfamilvincome All in all, how satised would you say you are with your job? Not at all satised, Not Job Satisfaction too satisfied, Somewhat satised, Very satisfied, Not applicable Hours Relex After work how many hours do you have to relax? Rich Work If rich, continue or stop working? Continue working, Stop working, Not applicable General Happy General happiness Not too happy, Pretty happy, Very happy 1. Summarize the following variables using the proper summary measures and graphs. a. Number of children b. General Happiness 2. Suppose a respondent is randomly selected from this group. a. What is the probability that the respondent will have a bachelor's degree? b. What is the probability a respondent will say there are very happy given they only have a high school degree? 3. Create a side-by-side boxplot for describing age of the respondent by their general happiness. Be sure to give a few sentences comparing the similarities and differences of ages for different happiness categories. 4. Create a 99% condence interval for the mean number of hours Americans spend relaxing after work. Be sure to include a statement summarizing the confidence interval. 5. Respondents were asked if they were rich would they continue or stop working. Is there a significant difference in the proportion of males and females that answered that they would stop working? Use a signicance level of 0.10. Be sure to demonstrate all 5 steps of the hypothesis testing process. Hint: Create a contingency table to determine your number of success and observations in each group. Only consider those that answered, \"continue working\" or \"stop working.\