manipuilate Data set on this page, copy to another page to make changes The ongoing question that the weekly assignments will focus on is: Are males and females paid the same Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work. The column labels in the table mean: ID – Employee sample number Salary – Salary in thousands Age – Age in years Performance Rating - Appraisal rating (employee evaluation scor Service – Years of service (rounded) Gender – 0 = male, 1 = female Midpoint – salary grade midpointRaise – percent of last raise Grade – job/pay grade Degree (0= BS\BA 1 = MS) Gender1 (Male or Female) Compa-ratio - salary divided by midpoint C A F E D E E E E E Week 1: Descriptive Statistics, including Probability While the lectures will examine our equal pay question from the compa-ratio viewpoint, our weekly assignments will examining the issue using the salary measure. The purpose of this assignmnent is two fold: 1. Demonstrate mastery with Excel tools. 2. Develop descriptive statistics to help examine the question. 3. Interpret descriptive outcomes The first issue in examining salary data to determine if we - as a company - are paying males and females equally for descriptive statistics to give us something to make a preliminary decision on whether we have an issue or not. 1 Descriptive Statistics: Develop basic descriptive statistics for Salary The first step in analyzing data sets is to find some summary descriptive statistics for key variables. Suggestion: Copy the gender1 and salary columns from the Data tab to columns T and U at the right. Then use Data Sort (by gender1) to get all the male and female salary values grouped together. a. Use the Descriptive Statistics function in the Data Analysis tab to develop the descriptive statistics summary for the overall group's overall salary. (Place K19 in output range.) Highlight the mean, sample standard deviation, and range. Using Fx (or formula) functions find the following (be sure to show the formula and not just the value in each cell) asked for salary statistics for each gender: Male Female Mean: Sample Standard Deviation: Range: b. 2 Develop a 5-number summary for the overall, male, and female SALARY variable. For full credit, show the excel formulas in each cell rather than simply the numerical answer. Overall Males Females Max 3rd Q Midpoint 1st Q Min 3 Location Measures: comparing Male and Female midpoints to the overall Salary data range. For full credit, show the excel formulas in each cell rather than simply the numerical answer. Male Using the entire Salary range and the M and F midpoints found in Q2 a. What would each midpoint's percentile rank be in the overall range? b. What is the normal curve z value for each midpoint within overall range? 4 Probability Measures: comparing Male and Female midpoints to the overall Salary data range For full credit, show the excel formulas in each cell rather than simply the numerical answer. Male Using the entire Salary range and the M and F midpoints found in Q2, find a.