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Submitted by cor.ja on Sun, 2013-09-15 22:46
due on Thu, 2013-09-19 22:42
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Statistics for Managers Assignment

Complete the problems below and submit your work in an Excel document.  Be sure to show all of your work and clearly label all calculations. All statistical calculations will use the Employee Salary Data Set.

 

Problems

  1. Is either that male or female salary equal to the overall mean salary? (Two hypotheses, one-sample tests needed.)
  2. Are male and female average salaries statistically equal to each other?
  3. Are the male and female compa average measures equal to each other?
  4. If the salary and compa mean tests in questions 2 and 3 provide different equality results, which would be more appropriate to use in answering the question about salary equity?  Why?
  5. What other information would you like to know to answer the question about salary equity between the genders?  Why?
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Answer
Submitted by Jan V on Mon, 2013-09-16 12:20
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Week 2 - testing

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xxxxxxxx x

xxxxxxxxxxxxxxxx
xx either xxx male or xxxxxx salary xxxxx xx xxx xxxxxxx xxxx salary?
xxxxxxxxxxxxxxxxxxxxx
Sample mean (*) (1)xx 38
xxxxxx xxxxxxxx deviation xxx (2)17.78 xxxxx
Population mean xxx xxx4545
Number xx items xx sample (4)25 xx
xxxxxxxx error of xxx mean (5) x (2)/sq.root(4)xxxx xxxx
t xxxxxxxxx x {(1) - (3)}/(5) 1.969 -1.913
xx xxx the xxxxxxxx xxxxxx xxx the xxx tailed test,
t(0.05,24)2.064 2.064
xxxxxxxxxx
xxxxx the xxxxxxxxxx xxxxx xx x xx xxxxxx xxxx the table xxxxxx the salaries xx xxxxx and xxxxxxx are xxx xxxxxxxxxxxxx different from xxx xxxxx overall mean salary
(*) derived xxxx xxxx xxx xxxxxxxx results

xxxxxxxx x

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxx xxx male and xxxxxx xxxxxxxx statistically xxxxx xx each xxxxxx
xxxx Salxxxxxx xxx t-Test: xxxxxxxxxx xxxxxxxx Equal Variances
5834
2741xxxxxxxxxxxVariable x Variable 2
66 xx Meanxxxxx xxxxx
47 xx xxxxxxxx316.00 xxxxxx
xx 23 xxxxxxxxxxxxxxxxx 25.00
77xx xxxxxx Variancexxxxxx
xxxx xxxxxxxxxxxx xxxx Difference xxxx
47 xx xx 48.00
xx xx t Statxxxx
xx xx xxx<xxx xxxxxxxx0.00
xx 34 t xxxxxxxx xxxxxxxxxxxx
xx xxxxx<xxx two-tail xxxx
72 23x xxxxxxxx two-tail xxxx
xx50
xxxx
64 xx
xxxx
xx xx
25xx
xx 22
60 xx
65xx
62xx
xx55
66 65

xxxxxxxx x

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxx the xxxx xxx xxxxxx compas equal to each xxxxxx
xxxx xxxxx Female Compat-Test: xxxxxxxxxx Assuming xxxxx xxxxxxxxx
1.017 1.096
0.8701.025 xxxxxxxxxxx xxxxxxxx 1xxxxxxxx x
xxxxx 1.000 xxxx1.061.07
xxxxxxxxxx xxxxxxxxxxxx0.00
xxxxx xxxxx xxxxxxxxxxxx xxxxxxxxxx
xxxxx1.050xxxxxx xxxxxxxx0.01
xxxxx 1.043xxxxxxxxxxxx xxxx Difference0.00
xxxxx xxxxx df48.00
xxxxxxxxxxx Stat xxxxx
xxxxx 1.161 P(T<=t) xxxxxxxx0.29
1.043xxxxxx Critical xxxxxxxx 1.68
1.000xxxxx P(T<xxx two-tail xxxx
1.0741.000 t Critical xxxxxxxx2.01
1.020 xxxxx
0.9031.043
xxxxxxxxxx
0.903xxxxx
0.9821.043
1.086 xxxxx
xxxxxxxxxx
xxxxx1.129
xxxxx1.043
xxxxx 1.149
1.052 1.145
xxxxx 1.140

file2.docx preview (622 words)

Is xxxxxx the male or female salary xxxxx to xxx overall mean salary?

To xxxxxx this xxxxxxxxx xx calculate xxx t-value xxx female to xxxxxxxxxx and xxxx to population. xxxxxxx is as xxxxxxxx

Where

x x xxx xxxxxxxxxx xxxxx xx t

x = xxx sample mean

μM x xxx xxxxxxxxxx xxxx

xxx = xxx estimated standard xxxxx of the xxxxx which xx based xx xxx xxxxxx xxxxxxxx xxxxxxxxxx s

The xxxxxxxxx xxx the xxx xxxxxxxxxxx

Null xxxxxxxxxx xx : xx1 x xxx

Alternate hypothesis xx : μ1 ≠ μx

xx1 x xxxx of sample

xx2 = mean of xxxxxxxxxx

xxxxxxxxxxxxxxxxxxxx

Particulars

Male

xxxxxx

Sample xxxx xxx (1)

xx

38

Sample xxxxxxxx xxxxxxxxx (*) xxx

xxxxx

xxxxx

Population mean xxx xxx

45

45

xxxxxx of items in xxxxxx (4)

xx

25

Standard error xx the mean xxx = (2)/sq.root(4)

3.56

3.66

 

 

 

x statistic = {(1) - xxxxxxxx

1.969

xxxxxx

 

 

 

xx xxx xxx xxxxxxxx xxxxxx for xxx two xxxxxx test,

 

 

t(0.05,24)

xxxxx

xxxxx

(*) xxxxxxx xxxx xxxx 1's xxxxxxxx xxxxxxx

xxxxxxxxxxx

Since the

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Answer
Submitted by xoon on Tue, 2014-02-04 08:28
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UPDATED 100% correct answer A+++++++++++++++++++TUTORIAL GUARANTEED PERFECT PLAGIARISM FREE WORK PERFECT CALCULATIONS

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xxxxxx

xxxxxx
xx Sal Compa xxxAgexxx SR xRaise Degxxxx Gr xxxx xxxxxx salary Mean xxxx xxxxxxAvg. Salay Male compa female

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