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1.Using the Excel Analysis ToolPak function Descriptive Statistics

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Question;1. Using the Excel Analysis ToolPak function descriptive statistics, generate descriptive statistics for the salary data. Which variables does this function not work properly for, even though we have some excel generated results? grade 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 the descriptive stats function for one gender and the Fx functions (average and stdev) for the other. sal= 24, compa=1.043, age=32 sr=8, raise=5.7 3. What is the probability distribution table for a: a. Randomly selected person being a male in a specific grade? b. Randomly selected person being in a specific grade? 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. 5. Repeat question 4 for compa for each gender. 6. What conclusions can you make about the issue of male and female pay equality? Are all of the results consistent? If not, why not? Additional RequirementsLevel of Detail: Show all workOther Requirements: ID Sal Compa Mid Age EES SR G Raise Deg Gen1 Gr10 22 0.956 23 30 80 7 1 4.7 1 F A37 22 0.956 23 22 95 2 1 6.2 0 F A8 23 1.000 23 32 90 9 1 5.8 1 F A11 23 1.000 23 41 100 19 1 4.8 1 F A23 23 1.000 23 36 65 6 1 3.3 0 F A36 23 1.000 23 27 75 3 1 4.3 0 F A14 24 1.043 23 32 90 12 1 6 1 F A15 24 1.043 23 32 80 8 1 4.9 1 F A26 24 1.043 23 22 95 2 1 6.2 0 F A31 24 1.043 23 29 60 4 1 3.9 1 F A35 24 1.043 23 23 90 4 1 5.3 0 F A42 24 1.043 23 32 100 8 1 5.7 1 F A3 34 1.096 31 30 75 5 1 3.6 1 F B20 34 1.096 31 44 70 16 1 4.8 0 F B39 35 1.129 31 27 90 6 1 5.5 0 F B18 36 1.161 31 31 80 11 1 5.6 0 F B7 41 1.025 40 32 100 8 1 5.7 1 F C13 42 1.050 40 30 100 2 1 4.7 0 F C24 50 1.041 48 30 75 9 1 3.8 0 F D45 55 1.145 48 36 95 8 1 5.2 1 F D22 57 1.187 48 48 65 6 1 3.8 1 F D48 65 1.140 57 34 90 11 1 5.3 1 F E17 69 1.210 57 27 55 3 1 3 1 F E28 75 1.119 67 44 95 9 1 4.4 0 F F43 77 1.149 67 42 95 20 1 5.5 0 F F19 24 1.043 23 32 85 1 0 4.6 1 M A25 24 1.043 23 41 70 4 0 4 0 M A40 25 1.086 23 24 90 2 0 6.3 0 M A2 27 0.870 31 52 80 7 0 3.9 0 M B32 28 0.903 31 25 95 4 0 5.6 0 M B34 28 0.903 31 26 80 2 0 4.9 1 M B27 40 1.000 40 35 80 7 0 3.9 1 M C41 43 1.075 40 25 80 5 0 4.3 0 M C5 47 0.979 48 36 90 16 0 5.7 1 M D16 47 1.175 40 44 90 4 0 5.7 0 M C30 49 1.020 48 45 90 18 0 4.3 0 M D38 56 0.982 57 45 95 11 0 4.5 0 M E1 58 1.017 57 34 85 8 0 5.7 0 M E12 60 1.052 57 52 95 22 0 4.5 0 M E44 60 1.052 57 45 90 16 0 5.2 1 M E49 60 1.052 57 41 95 21 0 6.6 0 M E47 62 1.087 57 37 95 5 0 5.5 1 M E33 64 1.122 57 35 90 9 0 5.5 1 M E46 65 1.140 57 39 75 20 0 3.9 1 M E4 66 1.157 57 42 100 16 0 5.5 1 M E50 66 1.157 57 38 80 12 0 4.6 0 M E29 72 1.074 67 52 95 5 0 5.4 0 M F6 76 1.134 67 36 70 12 0 4.5 1 M F21 76 1.134 67 43 95 13 0 6.3 1 M F9 77 1.149 67 49 100 10 0 4 1 M F

 

Paper#62461 | Written in 18-Jul-2015

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