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1.Using the Excel Analysis ToolPak function Descriptive Statistics

Question # 00003493
Subject: Statistics
Due on: 11/28/2013
Posted On: 11/13/2013 01:01 AM

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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 Requirements

Level of Detail: Show all work
Other Requirements: ID Sal Compa Mid Age EES SR G Raise Deg Gen1 Gr
10 22 0.956 23 30 80 7 1 4.7 1 F A
37 22 0.956 23 22 95 2 1 6.2 0 F A
8 23 1.000 23 32 90 9 1 5.8 1 F A
11 23 1.000 23 41 100 19 1 4.8 1 F A
23 23 1.000 23 36 65 6 1 3.3 0 F A
36 23 1.000 23 27 75 3 1 4.3 0 F A
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
26 24 1.043 23 22 95 2 1 6.2 0 F A
31 24 1.043 23 29 60 4 1 3.9 1 F A
35 24 1.043 23 23 90 4 1 5.3 0 F A
42 24 1.043 23 32 100 8 1 5.7 1 F A
3 34 1.096 31 30 75 5 1 3.6 1 F B
20 34 1.096 31 44 70 16 1 4.8 0 F B
39 35 1.129 31 27 90 6 1 5.5 0 F B
18 36 1.161 31 31 80 11 1 5.6 0 F B
7 41 1.025 40 32 100 8 1 5.7 1 F C
13 42 1.050 40 30 100 2 1 4.7 0 F C
24 50 1.041 48 30 75 9 1 3.8 0 F D
45 55 1.145 48 36 95 8 1 5.2 1 F D
22 57 1.187 48 48 65 6 1 3.8 1 F D
48 65 1.140 57 34 90 11 1 5.3 1 F E
17 69 1.210 57 27 55 3 1 3 1 F E
28 75 1.119 67 44 95 9 1 4.4 0 F F
43 77 1.149 67 42 95 20 1 5.5 0 F F
19 24 1.043 23 32 85 1 0 4.6 1 M A
25 24 1.043 23 41 70 4 0 4 0 M A
40 25 1.086 23 24 90 2 0 6.3 0 M A
2 27 0.870 31 52 80 7 0 3.9 0 M B
32 28 0.903 31 25 95 4 0 5.6 0 M B
34 28 0.903 31 26 80 2 0 4.9 1 M B
27 40 1.000 40 35 80 7 0 3.9 1 M C
41 43 1.075 40 25 80 5 0 4.3 0 M C
5 47 0.979 48 36 90 16 0 5.7 1 M D
16 47 1.175 40 44 90 4 0 5.7 0 M C
30 49 1.020 48 45 90 18 0 4.3 0 M D
38 56 0.982 57 45 95 11 0 4.5 0 M E
1 58 1.017 57 34 85 8 0 5.7 0 M E
12 60 1.052 57 52 95 22 0 4.5 0 M E
44 60 1.052 57 45 90 16 0 5.2 1 M E
49 60 1.052 57 41 95 21 0 6.6 0 M E
47 62 1.087 57 37 95 5 0 5.5 1 M E
33 64 1.122 57 35 90 9 0 5.5 1 M E
46 65 1.140 57 39 75 20 0 3.9 1 M E
4 66 1.157 57 42 100 16 0 5.5 1 M E
50 66 1.157 57 38 80 12 0 4.6 0 M E
29 72 1.074 67 52 95 5 0 5.4 0 M F
6 76 1.134 67 36 70 12 0 4.5 1 M F
21 76 1.134 67 43 95 13 0 6.3 1 M F
9 77 1.149 67 49 100 10 0 4 1 M F

Tags descriptive statistics function toolpak excel analysis 1using male salary function descriptive female specific score results person compa gender selected based excel randomly statistics requirements distribution table finda grade4 gradeb question notadditional consistent level workother idsalcompamidageeessrgraisedeggen1gr1022095623308071471fa3722095623229521620fa823100023329091581fa112310002341100191481fa2323100023366561330fa3623100023277531430fa1424104323329012161fa1524104323328081491fa2624104323229521620fa3124104323296041391fa3524104323239041530fa42241043233210081571fa334109631307551361fb20341096314470161480fb3935112931279061550fb18361161313180111560fb7411025403210081571fc13421050403010021470fc2450104148307591380fd4555114548369581521fd2257118748486561381fd48651140573490111531fe176912105727553131fe2875111967449591440ff43771149674295201550ff1924104323328510461ma252410432341704040ma4025108623249020630ma227087031528070390mb3228090331259540560mb3428090331268020491mb2740100040358070391mc4143107540258050430mc5470979483690160571md1647117540449040570mc30491020484590180430md38560982574595110450me158101757348580570me12601052575295220450me44601052574590160521me49601052574195210660me4762108757379550551me3364112257359090551me46651140573975200391me46611575742100160551me50661157573880120460me2972107467529550540mf6761134673670120451mf21761134674395130631mf9771149674910010041mf equality make

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Using the Excel Analysis ToolPak function Descriptive Statistics

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Posted On: 11/13/2013 01:02 AM
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