DATA: https://canvas.oregonstate.edu/courses/1835471/files/89326382/download?wrap=1

ST 351 Week 4 Lab Assignment (30 points) Exploring Data Objectives of this lab assignment . Using R to summarize categorical and quantitative data using summary statistics and graphical displays Use output from R Studio to draw general conclusions. Please note that all graphs and summary statistics must be found using R Studio. Graphs constructed from other programs will not be awarded points. This assignment will utilize data obtained through a student survey given to campus-based ST 351 students at the start of the term. Locate this data set titled SSURVEY.csv in the Week 4 Lab Assignment page and import the data set. You will use this data set to answer questions for Problem 1 and Problem 2. Problem 1 - Summarizing Quantitative Data The Student Survey contains many variables. For now let's consider describing the variable schoolwork. In the survey the question was asked, "Approximately, how many hours have you spent on schoolwork over the past week? (Include in-class time)" 1. (2 points) Before actually looking at the data set, do you have any reason to believe there is response bias in this survey when it comes to this question? Explain your reasoning. Please do not change your answer to this question after looking at the data. 2. (1 points) if you haven't done so already, import the SSURVEY.csy data set. Considering that in order to answer the survey, students must be in ST 351 which meets at least 4 hours a week. Use the following code to determine how many people answers 4 hours or less. Report that number now. sum (SSURVEY$schoolwork