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ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 Sal

Question is on week 4 on the attached excel doc.

ID Sal Compa Mid Age EES SER G Raise Deg Gen1 Gr 1 58 1.017 57 34 85 8 0 5.7 0 M E 0 The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 2 27 0.870 31 52 80 7 0 3.9 0 M B Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work. 3 34 1.096 31 30 75 5 1 3.6 1 F B 4 66 1.157 57 42 100 16 0 5.5 1 M E The column labels in the table mean: 5 47 0.979 48 36 90 16 0 5.7 1 M D ID – Employee sample number Sal – Salary in thousands 6 76 1.134 67 36 70 12 0 4.5 1 M F Age – Age in years EES – Appraisal rating (Employee evaluation score) 7 41 1.025 40 32 100 8 1 5.7 1 F C SER – Years of service G – Gender (0 = male, 1 = female) 8 23 1.000 23 32 90 9 1 5.8 1 F A Mid – salary grade midpoint Raise – percent of last raise 9 77 1.149 67 49 100 10 0 4 1 M F Grade – job/pay grade Deg (0= BS\BA 1 = MS) 10 22 0.956 23 30 80 7 1 4.7 1 F A Gen1 (Male or Female) Compa - salary divided by midpoint, a measure of salary that removes the impact of grade 11 23 1.000 23 41 100 19 1 4.8 1 F A 12 60 1.052 57 52 95 22 0 4.5 0 M E This data should be treated as a sample of employees taken from a company that has about 1,000 13 42 1.050 40 30 100 2 1 4.7 0 F C employees using a random sampling approach. 14 24 1.043 23 32 90 12 1 6 1 F A 15 24 1.043 23 32 80 8 1 4.9 1 F A 16 47 1.175 40 44 90 4 0 5.7 0 M C Mac Users: The homework in this course assumes students have Windows Excel, and 17 69 1.210 57 27 55 3 1 3 1 F E can load the Analysis ToolPak into their version of Excel. 18 36 1.161 31 31 80 11 1 5.6 0 F B The analysis tool pak has been removed from Excel for Windows, but a free third-party 19 24 1.043 23 32 85 1 0 4.6 1 M A tool that can be used (found on an answers Microsoft site) is: 20 34 1.096 31 44 70 16 1 4.8 0 F B 21 76 1.134 67 43 95 13 0 6.3 1 M F Like the Microsoft site, I make cannot guarantee the program, but do know that 22 57 1.187 48 48 65 6 1 3.8 1 F D Statplus is a respected statistical package.You may use other approaches or tools 23 23 1.000 23 36 65 6 1 3.3 0 F A as desired to complete the assignments. 24 50 1.041 48 30 75 9 1 3.8 0 F D 25 24 1.043 23 41 70 4 0 4 0 M A 26 24 1.043 23 22 95 2 1 6.2 0 F A 27 40 1.000 40 35 80 7 0 3.9 1 M C 28 75 1.119 67 44 95 9 1 4.4 0 F F 29 72 1.074 67 52 95 5 0 5.4 0 M F 30 49 1.020 48 45 90 18 0 4.3 0 M D 31 24 1.043 23 29 60 4 1 3.9 1 F A 32 28 0.903 31 25 95 4 0 5.6 0 M B 33 64 1.122 57 35 90 9 0 5.5 1 M E 34 28 0.903 31 26 80 2 0 4.9 1 M B 35 24 1.043 23 23 90 4 1 5.3 0 F A 36 23 1.000 23 27 75 3 1 4.3 0 F A 37 22 0.956 23 22 95 2 1 6.2 0 F A 38 56 0.982 57 45 95 11 0 4.5 0 M E 39 35 1.129 31 27 90 6 1 5.5 0 F B 40 25 1.086 23 24 90 2 0 6.3 0 M A 41 43 1.075 40 25 80 5 0 4.3 0 M C 42 24 1.043 23 32 100 8 1 5.7 1 F A 43 77 1.149 67 42 95 20 1 5.5 0 F F 44 60 1.052 57 45 90 16 0 5.2 1 M E 45 55 1.145 48 36 95 8 1 5.2 1 F D 46 65 1.140 57 39 75 20 0 3.9 1 M E 47 62 1.087 57 37 95 5 0 5.5 1 M E 48 65 1.140 57 34 90 11 1 5.3 1 F E 49 60 1.052 57 41 95 21 0 6.6 0 M E 50 66 1.157 57 38 80 12 0 4.6 0 M E http://www.analystsoft.com/en/products/statplusmacle
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Week 1. Describing the data. <Use right click on the row numbers at the left to insert rows below each question for your results and comments.> 1Using the Excel Analysis ToolPak function descriptive statistics, generate and show the descriptive statistics for each appropriate variable in the sample data set. a. For which variables in the data set does this function not work correctly for? Why? The require doutput is given below, Sal Compa Mid Age EES SER G Raise Deg Mean 45 Mean 1.06248 Mean 41.76 Mean 35.72 Mean 85.9 Mean 8.96 Mean 0.5 Mean 4.938 Mean 0.5 Standard E 2.715488 Standard E 0.010865 Standard E 2.295436 Standard E 1.166904 Standard E 1.614286 Standard E 0.8086067635 Standard E 0.071429 Standard E 0.122654 Standard E 0.071429 Median 42.5 Median 1.051 Median 40 Median 35 Median 90 Median 8 Median 0.5 Median 4.9 Median 0.5 Mode 24 Mode 1.043 Mode 23 Mode 32 Mode 95 Mode 8 Mode 0 Mode 5.7 Mode 0 Standard D 19.2014 Standard D 0.076825 Standard D 16.23119 Standard D 8.251258 Standard D 11.41472 Standard D 5.7177132578 Standard D 0.505076 Standard D 0.867295 Standard D 0.505076 Sample Va 368.6939 Sample Va 0.005902 Sample Va 263.4514 Sample Va 68.08327 Sample Va 130.2959 Sample Va 32.692244898 Sample Va 0.255102 Sample Va 0.7522 Sample Va 0.255102 Kurtosis -1.445227 Kurtosis -0.174608 Kurtosis -1.517166 Kurtosis -0.7747 Kurtosis -0.035461 Kurtosis -0.3991207282 Kurtosis -2.085106 Kurtosis -0.793594 Kurtosis -2.085106 Skewness 0.23788 Skewness -0.316686 Skewness 0.160991 Skewness 0.262221 Skewness -0.820437 Skewness 0.7278826994 Skewness -5E-018 Skewness -0.163763 Skewness -5E-018 Range 55 Range 0.34 Range 44 Range 30 Range 45 Range 21 Range 1 Range 3.6 Range 1 Minimum 22 Minimum 0.87 Minimum 23 Minimum 22 Minimum 55 Minimum 1 Minimum 0 Minimum 3 Minimum 0 Maximum 77 Maximum 1.21 Maximum 67 Maximum 52 Maximum 100 Maximum 22 Maximum 1 Maximum 6.6 Maximum 1 Sum 2250 Sum 53.124 Sum 2088 Sum 1786 Sum 4295 Sum 448 Sum 25 Sum 246.9 Sum 25 Count 50 Count 50 Count 50 Count 50 Count 50 Count 50 Count 50 Count 50 Count 50 For the variables Gen1 and Gr this function does not work as these variables are containing non numeric data. 2 Sort the data by Gen or Gen 1 (into males and females) and find the mean and standard deviation for each gender for the following variables: sal, compa, age, sr and raise. Use either the descriptive stats function or the Fx functions (average and stdev). For Females: Sal Compa Mid Age EES SER G Raise Mean 38 Mean 1.06872 Mean 34.88 Mean 32.52 Mean 84.2 Mean 7.92 Mean 1 Mean 4.88 Standard E 3.658779 Standard E 0.014069 Standard E 2.990162 Standard E 1.37613 Standard E 2.718455 Standard E 0.9813596011 Standard E 0 Standard E 0.183848 Median 34 Median 1.043 Median 31 Median 32 Median 90 Median 8 Median 1 Median 4.9 Mode 24 Mode 1.043 Mode 23 Mode 32 Mode 90 Mode 8 Mode 1 Mode 5.7 Standard D 18.2939 Standard D 0.070345 Standard D 14.95081 Standard D 6.880649 Standard D 13.59228 Standard D 4.9067980055 Standard D 0 Standard D 0.919239 Sample Va 334.6667 Sample Va 0.004948 Sample Va 223.5267 Sample Va 47.34333 Sample Va 184.75 Sample Va 24.0766666667 Sample Va 0 Sample Va 0.845 Kurtosis -0.336387 Kurtosis -0.775295 Kurtosis -0.267883 Kurtosis -0.035485 Kurtosis -0.705589 Kurtosis 0.8815005594 Kurtosis #DIV/0! Kurtosis -0.782134 Skewness 0.99657 Skewness 0.33759 Skewness 1.011154 Skewness 0.622436 Skewness -0.641979 Skewness 1.0552719395 Skewness #DIV/0! Skewness -0.440096 Range 55 Range 0.254 Range 44 Range 26 Range 45 Range 18 Range 0 Range 3.2 Minimum 22 Minimum 0.956 Minimum 23 Minimum 22 Minimum 55 Minimum 2 Minimum 1 Minimum 3 Maximum 77 Maximum 1.21 Maximum 67 Maximum 48 Maximum 100 Maximum 20 Maximum 1 Maximum 6.2 Sum 950 Sum 26.718 Sum 872 Sum 813 Sum 2105 Sum 198 Sum 25 Sum 122 Count 25 Count 25 Count 25 Count 25 Count 25 Count 25 Count 25 Count 25 For Males: Sal Compa Mid Age EES SER G Raise Mean 52 Mean 1.05624 Mean 48.64 Mean 38.92 Mean 87.6 Mean 10 Mean 0 Mean 4.996 Standard E 3.555278 Standard E 0.016758 Standard E 2.937618 Standard E 1.67722 Standard E 1.734935 Standard E 1.2714820749 Standard E 0 Standard E 0.165376 Median 58 Median 1.052 Median 57 Median 39 Median 90 Median 9 Median 0 Median 4.9 Mode 60 Mode 1.052 Mode 57 Mode 52 Mode 95 Mode 16 Mode 0 Mode 5.7 Standard D 17.77639 Standard D 0.083789 Standard D 14.68809 Standard D 8.3861 Standard D 8.674676 Standard D 6.3574103743 Standard D 0 Standard D 0.826882 Sample Va 316 Sample Va 0.007021 Sample Va 215.74 Sample Va 70.32667 Sample Va 75.25 Sample Va 40.4166666667 Sample Va 0 Sample Va 0.683733 Kurtosis -1.159625 Kurtosis -0.148414 Kurtosis -0.991871 Kurtosis -0.608574 Kurtosis -0.557075 Kurtosis -0.9847253303 Kurtosis #DIV/0! Kurtosis -1.068919 Skewness -0.371617 Skewness -0.648136 Skewness -0.548426 Skewness -0.218315 Skewness -0.582884 Skewness 0.4272605622 Skewness #DIV/0! Skewness 0.256016 Range 53 Range 0.305 Range 44 Range 28 Range 30 Range 21 Range 0 Range 2.7 Minimum 24 Minimum 0.87 Minimum 23 Minimum 24 Minimum 70 Minimum 1 Minimum 0 Minimum 3.9 Maximum 77 Maximum 1.175 Maximum 67 Maximum 52 Maximum 100 Maximum 22 Maximum 0 Maximum 6.6 Sum 1300 Sum 26.406 Sum 1216 Sum 973 Sum 2190 Sum 250 Sum 0 Sum 124.9 Count 25 Count 25 Count 25 Count 25 Count 25 Count 25 Count 25 Count 25 3 What is the probability for a: Required Probability = #NAME? Required Probability = #NAME? c. Why are the results different? As some Grade E is also positioned by females so the results varies. 4 Find: a. The z score for each male salary, based on only the male salaries. b. The z score for each female salary, based on only the female salaries. c. The z score for each female compa, based on only the female compa values. d. The z score for each male compa, based on only the male compa values. e. What do the distributions and spread suggest about male and female salaries? Why might we want to use compa to measure salaries between males and females? The calculations and Z scores are given in Sheet2. As there are various factors affects salary like education, experience etc so unless we use compa we are not using proper variable for comparison. 5 Based on this sample, what conclusions can you make about the issue of male and female pay equality? Are all of the results consistent with your conclusion? If not, why not? From the descriptive statistics it is clear that there is a significant difference between salaries of males and females. But it might or might not be true. As many factors affect salary so to be sure we have to analyze for them also. a. Randomly selected person being a male in grade E? b. Randomly selected male being in grade E?
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the=_=answeR.xlsx

1)
Since all of the expected counts are NOT 5 or more (8 cells have expected counts less than 5), i.e. Row variable
BA/BS
MS Expected Frequencies
column variable
B
C
D
7.5
3.5
2.5
7.5
3.5
2.5 A E F...

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