2. Based on the Employees' Salaries dataset below, and by using the Descriptive Statistic Tools in Excel, 1. ii. iii. iv. Employee Salary Data Employee 2 3 4 5 6 7 8 9 10 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 36 28,260 $ $ 43,392 S 56,322 S 26,086 $ 36,807 S $ 57,119 48,907 $ 34,301 S 31.104 S S $ S 40,015 S 48,329 $ 39,849 31,985 $ 59,160 S 60,335 S S S 35.911 S 57,814 42,377 62,430 S Salary S S S S S S 60,054 41,420 36,508 S S 46,928 34,403 45,714 42,247 54.789 31.702 34,406 84,876 S 27,399 S 55,785 S 34,649 S 64.236 50,241 Age 25 28 37 23 32 57 45 32 25 57 42 25 38 47 38 31 54 59 32 55 36 60 49 36 32 27 52 30 33 57 24 51 30 61 45 MBA No Yes Yes No No No No No No No No Yes No No No No No No No No No No No No Yes Yes No No No Yes No No No No No create a descriptive summary statistic for employee salary variable. interpret all measure of central tendency, measure of dispersion and measure of shape and other statistics results in the summary table. Calculate the z-scores for all observations. Calculate if there are any outliers in the employee salary variable.
2. Based on the Employees' Salaries dataset below, and by using the Descriptive Statistic Tools in Excel, 1. ii. iii. iv. Employee Salary Data Employee 2 3 4 5 6 7 8 9 10 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 36 28,260 $ $ 43,392 S 56,322 S 26,086 $ 36,807 S $ 57,119 48,907 $ 34,301 S 31.104 S S $ S 40,015 S 48,329 $ 39,849 31,985 $ 59,160 S 60,335 S S S 35.911 S 57,814 42,377 62,430 S Salary S S S S S S 60,054 41,420 36,508 S S 46,928 34,403 45,714 42,247 54.789 31.702 34,406 84,876 S 27,399 S 55,785 S 34,649 S 64.236 50,241 Age 25 28 37 23 32 57 45 32 25 57 42 25 38 47 38 31 54 59 32 55 36 60 49 36 32 27 52 30 33 57 24 51 30 61 45 MBA No Yes Yes No No No No No No No No Yes No No No No No No No No No No No No Yes Yes No No No Yes No No No No No create a descriptive summary statistic for employee salary variable. interpret all measure of central tendency, measure of dispersion and measure of shape and other statistics results in the summary table. Calculate the z-scores for all observations. Calculate if there are any outliers in the employee salary variable.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:2.
Based on the Employees' Salaries dataset below, and by using the Descriptive Statistic Tools
in Excel,
i.
ii.
iv.
Employee Salary Data
Employee
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
Salary
$ 28,260
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
43,392
56.322
$
$
26,086
36,807
57,119
48,907
34,301
31,104
48,329
39,849
31,985
59,160
60,335
S 35.911
$
57,814
$ 42,377
62,430
$
$
$
$ 45,714
$
42,247
60,054
41,420
36,508
40,015
46,928
34,403
$
54,789
$
31,702
$ 34,406
84,876
$
$
27,399
$ 55,785
$
34,649
64,236
50,241
Age
25
28
37
23
32
57
45
32
25
57
42
25
38
47
38
31
54
59
32
55
36
60
49
36
32
27
52
30
33
57
24
51
30
61
45
MBA
No
Yes
Yes
No
No
No
No
No
No
No
No
Yes
No
No
No
No
No
No
No
No
No
No
No
No
Yes
Yes
No
No
No
Yes
No
No
No
No
No
create a descriptive summary statistic for employee salary variable.
interpret all measure of central tendency, measure of dispersion and measure of
shape and other statistics results in the summary table.
Calculate the z-scores for all observations.
Calculate if there are any outliers in the employee salary variable.
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