Project 1 Data Collection and Descriptive Statistics In this project, you will demonstrate your understanding of data collection and descriptive statistics. You will collect the data, organize, summarize, and describe the data the way it is explained in Chapter 1- Chapter 3. You will, then, make a written report including all parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components: 1. Research Questions about a Population Question 1: Come up with a research question on making an estimate about a population proportion. (For example: What proportion of Los Angeles Mission College students are full time students?) State your Question 1 (and your estimated prediction of the results): ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ Question 2: Come up with a research question on making an estimate about a population mean. (For example: What is the average number of hours that Los Angeles Mission College students work each week?) State your Question 2 (and your estimated prediction of the results): ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ 2. Collecting Data a) write a survey and collect the data for responses to your proposed questions above. For question 1, your survey should have a qualitative variable with only two possible responses, What are your variable and the question below (For example: full time student status. "Are you a full-time student, Yes or No?"): ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ For question 2, your survey should have a quantitate variable. What are the variable and the question below (For example: number of hours of work in a week. "How many hours do you work each week?"): ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ b) Describe the data collecting process including the population of interest. For each question, address if there was any of the following biases: Sampling bias, Non-response bias, and Response bias. c) Enter your raw data in Column 1 (categorical data) and in Column 2 (numerical data) in StatCrunch. Name each column and save the data (Data>Save>Enter the File Name>Click Save). To later open the saved data in StatCrunch, (Data> Load>My Data>Choose the file name.) 3. Organizing, Summarizing, and Describing Qualitative Data using StatCrunch a) Open your saved survey data. Organize your data for your categorical variable in column 1, into a frequency/relative frequency table. Save the distribution table. (To open the saved results later in StatCrunch, go to statcrunch.com> MyStatCrunch> My Results>Choose the name/notes.) b) Construct a bar graph for a frequency distribution and for a relative frequency distribution for your categorical variable. Choose to display the value above bar. Save the graphs. c) Construct a pie chart for the categorical variable. Save the result. d) make a dotplot and a histogram for your survey's numerical data in column 2. Make sure that your histogram has an appropriate width for the bins. Explain why your choice for the width makes sense for your specific data. Save your graphs. 4. Organizing, Summarizing, and Describing Quantitative Data using StatCrunch a) Open your survey data and the dotplot and the histogram for your survey's numerical variable. make a boxplot for the variable in column 2. make a description of each graph (What does each graph show you about your data, that you won't be able to easily see in the other graphs?). Save the boxplot. b) Find the following sample statistics for the data set: Minimum value, Maximum value, Mean, Median, Mode, Q1, Q3, Range, IQR, and Standard Deviation. For each of these values make a sentence explaining what it tells you about the results in your survey. Please do not make about how they are calculated. The purpose of this exercise is to make sure that you understand the meaning for each of these statistics (not how you find it). So please don't include steps for finding each of these. You will be graded on your explanation of what each value tells us specifically about your sample.