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The director of human resources for a large bank has compiled data on about 70 f

ID: 2929161 • Letter: T

Question

The director of human resources for a large bank has compiled data on about 70 former employees at one of the bank’s call centers (see the Excel file Call Center Data). For each of the following, assume equal variances of the two populations.

a. Test the null hypothesis that the average length of service for males is the same as for females.

b. Test the null hypothesis that the average length of service for individuals without prior call center experience is the same as those with experience.

c. Test the null hypothesis that the average length of service for individuals with a college degree is the same as for individuals without a college degree.

d. Now conduct tests of hypotheses for equality of variances. Were your assumptions of equal variances valid? If not, repeat the test(s) for means using the unequal variance test.

Call Center Data Male = 1
Female = 0 Yes = 1
No = 0 Yes = 1
No = 0 Gender Starting Age Prior Call Center Experience College Degree Length of Service (years) 0 18 0 0 7.02 1 18 1 0 3.47 0 19 0 0 2.07 0 19 0 0 1.78 0 19 0 0 4.42 0 19 0 0 3.29 0 19 1 0 3.05 1 19 1 0 0.49 1 19 1 0 0.61 1 19 0 0 3.12 0 20 0 0 2.95 0 20 1 0 2.15 0 20 0 0 4.03 1 20 0 0 3.53 1 20 0 0 2.47 0 21 0 0 2.15 1 21 0 0 3.27 1 21 0 0 1.10 1 21 0 0 1.78 0 22 0 0 1.94 0 22 1 0 2.91 0 23 1 0 3.02 0 23 1 0 2.53 0 23 0 1 1.84 1 23 1 0 2.88 1 23 0 0 2.20 1 23 0 1 1.44 1 24 0 0 2.53 1 24 0 1 1.41 1 24 0 1 1.08 0 25 1 1 0.98 1 25 1 0 0.63 1 25 0 1 1.30 1 25 1 1 2.13 0 26 1 0 2.30 0 26 1 1 2.05 0 26 1 1 2.13 1 26 1 1 2.12 1 26 0 1 2.16 1 27 0 0 2.04 0 28 0 0 1.70 0 28 0 1 2.11 1 29 0 1 1.75 0 30 0 1 2.15 1 30 1 0 2.12 1 30 0 1 0.37 0 31 0 0 1.95 0 31 0 0 1.02 0 31 0 1 1.26 1 31 0 0 1.04 0 32 0 1 1.64 1 32 1 0 1.75 1 32 1 1 1.71 1 33 0 0 1.29 0 34 1 0 1.48 0 34 0 1 1.31 1 34 0 0 1.46 1 34 1 0 1.88 1 36 0 1 1.16 0 39 0 0 1.16 0 39 0 1 1.05 1 39 0 0 0.96 0 40 1 0 1.24 0 40 0 0 0.81 1 41 1 0 0.87 0 43 1 0 0.99 0 43 1 0 0.76 0 45 0 0 0.32 0 47 1 1 0.35 0 50 1 0 0.57

Explanation / Answer

Answer:

The director of human resources for a large bank has compiled data on about 70 former employees at one of the bank’s call centers (see the Excel file Call Center Data). For each of the following, assume equal variances of the two populations.

a. Test the null hypothesis that the average length of service for males is the same as for females.

Two-Sample T-Test and CI: Length of Service, Gender_1

Method

: mean of Length of Service when Gender_1 = 0

µ: mean of Length of Service when Gender_1 = 1

Difference: - µ

Equal variances are assumed for this analysis.

Descriptive Statistics: Length of Service

Gender_1

N

Mean

StDev

SE Mean

0

37

2.01

1.28

0.21

1

33

1.761

0.857

0.15

Estimation for Difference

Difference

Pooled
StDev

95% CI for
Difference

0.252

1.098

(-0.273, 0.776)

Test

Null hypothesis

H: - µ = 0

Alternative hypothesis

H: - µ 0

T-Value

DF

P-Value

0.96

68

0.342

Calculated t=0.96, P=0.342 which is > 0.05 level. Ho is not rejected

The average length of service for males is the same as for females.

b. Test the null hypothesis that the average length of service for individuals without prior call center experience is the same as those with experience.

Two-Sample T-Test and CI: Length of Service, Prior Call ... r Experience

Method

: mean of Length of Service when Prior Call Center Experience = 0

µ: mean of Length of Service when Prior Call Center Experience = 1

Difference: - µ

Equal variances are assumed for this analysis.

Descriptive Statistics: Length of Service

Prior Call
Center
Experience

N

Mean

StDev

SE Mean

0

43

1.99

1.20

0.18

1

27

1.747

0.907

0.17

Estimation for Difference

Difference

Pooled
StDev

95% CI for
Difference

0.240

1.099

(-0.299, 0.778)

Test

Null hypothesis

H: - µ = 0

Alternative hypothesis

H: - µ 0

T-Value

DF

P-Value

0.89

68

0.378

Calculated t=0.89, P=0.378 which is > 0.05 level. Ho is not rejected.

The average length of service for individuals without prior call center experience is the same as those with experience.

c. Test the null hypothesis that the average length of service for individuals with a college degree is the same as for individuals without a college degree.

Two-Sample T-Test and CI: Length of Service, College Degree

Method

: mean of Length of Service when College Degree = 0

µ: mean of Length of Service when College Degree = 1

Difference: - µ

Equal variances are assumed for this analysis.

Descriptive Statistics: Length of Service

College
Degree

N

Mean

StDev

SE Mean

0

48

2.06

1.24

0.18

1

22

1.523

0.554

0.12

Estimation for Difference

Difference

Pooled
StDev

95% CI for
Difference

0.542

1.076

(-0.011, 1.095)

Test

Null hypothesis

H: - µ = 0

Alternative hypothesis

H: - µ 0

T-Value

DF

P-Value

1.96

68

0.055

Calculated t=1.96, P=0.055 which is > 0.05 level. Ho is not rejected.

The average length of service for individuals with a college degree is the same as for individuals without a college degree.

d. Now conduct tests of hypotheses for equality of variances. Were your assumptions of equal variances valid? If not, repeat the test(s) for means using the unequal variance test.

Test and CI for Two Variances: Length of Service vs Gender_1

Method

: standard deviation of Length of Service when Gender_1 = 0

: standard deviation of Length of Service when Gender_1 = 1

Ratio: /

The Bonett and Levene's methods are valid for any continuous distribution.

Descriptive Statistics

Gender_1

N

StDev

Variance

95% CI for

0

37

1.275

1.626

(0.810, 2.118)

1

33

0.857

0.734

(0.697, 1.119)

Ratio of Standard Deviations

Estimated
Ratio

95% CI for
Ratio using
Bonett

95% CI for
Ratio using
Levene

1.48840

(0.675, 2.284)

(0.760, 1.932)

Test

Null hypothesis

H: / = 1

Alternative hypothesis

H: / 1

Significance level

= 0.05

Method

Test
Statistic

DF1

DF2

P-Value

Bonett

*

0.246

Levene

1.01

1

68

0.318

Calculated P=0.318 which is > 0.05 level. Ho is not rejected.

The assumptions of equal variances is valid.

Test and CI for Two Variances: Length of Service vs Prior ... Experience

Method

: standard deviation of Length of Service when Prior Call Center Experience = 0

: standard deviation of Length of Service when Prior Call Center Experience = 1

Ratio: /

The Bonett and Levene's methods are valid for any continuous distribution.

Descriptive Statistics

Prior Call
Center
Experience

N

StDev

Variance

95% CI for

0

43

1.203

1.447

(0.773, 1.962)

1

27

0.907

0.822

(0.764, 1.161)

Ratio of Standard Deviations

Estimated
Ratio

95% CI for
Ratio using
Bonett

95% CI for
Ratio using
Levene

1.32674

(0.566, 2.052)

(0.578, 1.623)

Test

Null hypothesis

H: / = 1

Alternative hypothesis

H: / 1

Significance level

= 0.05

Method

Test
Statistic

DF1

DF2

P-Value

Bonett

*

0.431

Levene

0.05

1

68

0.823

Calculated P=0.823 which is > 0.05 level. Ho is not rejected.

The assumptions of equal variances is valid.

Test and CI for Two Variances: Length of Service vs College Degree

Method

: standard deviation of Length of Service when College Degree = 0

: standard deviation of Length of Service when College Degree = 1

Ratio: /

The Bonett and Levene's methods are valid for any continuous distribution.

Descriptive Statistics

College
Degree

N

StDev

Variance

95% CI for

0

48

1.240

1.537

(0.875, 1.832)

1

22

0.554

0.307

(0.417, 0.810)

Ratio of Standard Deviations

Estimated
Ratio

95% CI for
Ratio using
Bonett

95% CI for
Ratio using
Levene

2.23679

(1.067, 3.637)

(1.184, 2.943)

Test

Null hypothesis

H: / = 1

Alternative hypothesis

H: / 1

Significance level

= 0.05

Method

Test
Statistic

DF1

DF2

P-Value

Bonett

*

0.035

Levene

6.12

1

68

0.016

Calculated P=0.016 which is < 0.05 level. Ho is rejected.

The assumptions of equal variances is not valid.

Two-Sample T-Test and CI: Length of Service, College Degree

Method

: mean of Length of Service when College Degree = 0

µ: mean of Length of Service when College Degree = 1

Difference: - µ

Equal variances are not assumed for this analysis.

Descriptive Statistics: Length of Service

College
Degree

N

Mean

StDev

SE Mean

0

48

2.06

1.24

0.18

1

22

1.523

0.554

0.12

Estimation for Difference

Difference

95% CI for
Difference

0.542

(0.114, 0.970)

Test

Null hypothesis

H: - µ = 0

Alternative hypothesis

H: - µ 0

T-Value

DF

P-Value

2.53

67

0.014

Calculated t=2.53, P=0.014 which is <0.05 level. Ho is not rejected.

The average length of service for individuals with a college degree is not same as for individuals without a college degree.

: mean of Length of Service when Gender_1 = 0

µ: mean of Length of Service when Gender_1 = 1

Difference: - µ