GD Problem sets O Search AutoSave . Off) H Share Comments File Home Page Layout Formulas Data Review FOXIT PDF AutoSum & Cut Times New Roman ~ 12 ~ A" A General Fill Conditional Format as Cell Insert Delete Format Sort & Find & Ideas Sensitivity DE Copy Merge & Center $ ~ % 9 70 20 Formatting > Table Styles Clear Filter ~ Select Format Painter Cells Editing Ideas Sensitivity Styles Clipboard Font B2 X Y fx 56.5 M N O P Q R S T U V W X A B C D E F G K M 25 23.9 1.041 23 41 70 A - A 26 1.059 23 95 F A 26 22 6.2 M 28 27 44.2 1.105 40 35 80 3. 28 76.2 67 44 95 4.4 F F 29 77.3 1.154 67 52 95 UOJNA 5.4 M M 31 30 48.9 48 90 18 32 31 24.4 1.062 23 29 60 HOOHOHOI 32 27.4 0.883 31 25 ooo M 33 34 33 58 57 35 90 M 35 34 27.6 0.890 31 26 80 M 36 35 22.4 0.975 23 23 36 22.7 0.985 23 27 75 38 37 23.9 1.037 23 22 95 6.2 59.5 1.043 57 95 M 39 38 39 1.132 31 27 90 5.5 41 40 25 1.087 23 24 90 6.3 M 41 40.9 1.022 40 25 80 OUNGENWANDAA HOO- 4.3 M 42 22.7 23 32 100 5.7 44 43 73.9 1.103 67 95 20 45 44 57 45 90 16 5.2 M 46 45 52.4 1.092 48 36 95 8 M 47 46 1.063 57 39 75 20 47 61.1 57 37 95 5.5 M 49 48 68.7 57 34 11 HOOHO 5.3 50 49 57 41 95 21 6.6 M O M 51 50 59.5 57 38 80 12 O O 4.6 + > > Desktop 9/7/2020 Type here to search WAutoSave . Off) H Problem sets O Search Greg Dehne GD X File Home Insert Page Layout Formulas Data Review View Help FOXIT PDF Share Comments & Cut Times New Roman ~ 12 ~ A" A ap Wrap Text General AutoSum Paste [A Copy Conditional Format as Cell Insert Delete Format Fill AY O BIUT DAY ES E Merge & Center $ ~ % 9 70 20 Sort & Find & Formatting * Table Styles Clear Ideas Sensitivity Format Painter Filter ~ Select Clipboard Font Alignment Number Styles Cells Editing Ideas Sensitivity J53 X Y A B C D E F G H J K M N P Q R S T U V WA 1 Week 1: Descriptive Statistics, including Probability 2 While the lectures will examine our equal pay question from the compa-ratio viewpoint, our weekly assignments will focus on 3 examining the issue using the salary measure. 5 The purpose of this assignment is two fold: 6 1. Demonstrate mastery with Excel tools. 2. Develop descriptive statistics to help examine the question. 8 3. Interpret descriptive outcomes 10 The first issue in examining salary data to determine if we - as a company - are paying males and females equally for doing equal work is to develop some 11 descriptive statistics to give us something to make a preliminary decision on whether we have an issue or not. 12 13 1 Descriptive Statistics: Develop basic descriptive statistics for Salary 14 The first step in analyzing data sets is to find some summary descriptive statistics for key variables. 15 Suggestion: Copy the genderl and salary columns from the Data tab to columns T and U at the right. 16 Then use Data Sort (by gender1) to get all the male and female salary values grouped together. 17 18 a. Use the Descriptive Statistics function in the Data Analysis tab Place Excel outcome in Cell K19 19 to develop the descriptive statistics summary for the overall 20 group's overall salary. (Place K19 in output range.) 21 Highlight the mean, sample standard deviation, and range. 22 23 24 25 b. Using Fx (or formula) functions find the following (be sure to show the formula 26 and not just the value in each cell) asked for salary statistics for each gender: 27 Male Female Data Week 1 Week 2 | Week 3 | Week 4 | + + 100% Type here to search w S 9 X Desktop ) that value for Show the calculation formula = value/50 or =countif(range,">="&cell)/50 54 b. The Normal curve Prob of => that value for each group Use "=1-NORM.S.DIST" function 55 Note: be sure to use the ENTIRE salary range for part a when finding the probability. 56 57 5 Conclusions: What do you make of these results? Be sure to include findings from this week's lectures as well. 58 In comparing the overall, male, and female outcomes, what relationship(s) see, to exist between the data sets? 59 Your findings: 60 The lecture's related findings: 61 Overall conclusion: 62 What does this suggest about our equal pay for equal work question? 63 64 65 66 67 68 69 70 71 72 73 74 75 76 Data Week 1 Week 2 | Week 3 | Week 4 + + 100% W X > 9/7/2020