## Just do my homework!

• HTML tags will be transformed to conform to HTML standards.
Question
Submitted by cor.ja on Sun, 2013-09-15 22:46
due on Thu, 2013-09-19 22:42
Hand shake with Jan V: Complete (\$10.00 paid)
cor.ja is willing to pay \$25.00
cor.ja bought 33 out of 37 answered question(s)

# 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?
Attachments:
Submitted by Jan V on Mon, 2013-09-16 12:20
teacher rated 180 times
4.85
purchased 3 times
price: \$45.00

5

## Week 2 - testing

body preview (0 words)

file1.xlsx preview (188 words)

# xxxxxxxx x

xxxxxxxxxxxxxxxx
 xx either xxx male or xxxxxx salary xxxxx xx xxx xxxxxxx xxxx salary? xxxxxxxxxxx xxxx xxxxxx Sample mean (*) (1) xx 38 xxxxxx xxxxxxxx deviation xxx (2) 17.78 xxxxx Population mean xxx xxx 45 45 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 Sal xxxxxx xxx t-Test: xxxxxxxxxx xxxxxxxx Equal Variances 58 34 27 41 xxxxxxxxxxx Variable x Variable 2 66 xx Mean xxxxx xxxxx 47 xx xxxxxxxx 316.00 xxxxxx xx 23 xxxxxxxxxxxx xxxxx 25.00 77 xx xxxxxx Variance xxxxxx xx xx xxxxxxxxxxxx xxxx Difference xxxx 47 xx xx 48.00 xx xx t Stat xxxx xx xx xxx

# xxxxxxxx x

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 xxx the xxxx xxx xxxxxx compas equal to each xxxxxx xxxx xxxxx Female Compa t-Test: xxxxxxxxxx Assuming xxxxx xxxxxxxxx 1.017 1.096 0.870 1.025 xxxxxxxxxxx xxxxxxxx 1 xxxxxxxx x xxxxx 1.000 xxxx 1.06 1.07 xxxxx xxxxx xxxxxxxx xxxx 0.00 xxxxx xxxxx xxxxxxxxxxxx xxxxx xxxxx xxxxx 1.050 xxxxxx xxxxxxxx 0.01 xxxxx 1.043 xxxxxxxxxxxx xxxx Difference 0.00 xxxxx xxxxx df 48.00 xxxxx xxxxx x Stat xxxxx xxxxx 1.161 P(T<=t) xxxxxxxx 0.29 1.043 xxxxx x Critical xxxxxxxx 1.68 1.000 xxxxx P(T

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

- - - more text follows - - -

Submitted by xoon on Tue, 2014-02-04 08:28
teacher rated 1001 times
4.564435
price: \$15.00

## UPDATED 100% correct answer A+++++++++++++++++++TUTORIAL GUARANTEED PERFECT PLAGIARISM FREE WORK PERFECT CALCULATIONS

body preview (0 words)

file1.xlsx preview (306 words)

# xxxxxx

xxxxxx
 xx Sal Compa xxx Age xxx SR x Raise Deg xxxx Gr xxxx xxxxxx salary Mean xxxx xxxxxx Avg. Salay Male compa female

- - - more text follows - - -