The following three independent random samples are obtained from three no with equal variances. The dependent variable is starting hourly wage, and the position (work study, co-op, internship). Software was used to conduct a one-way ANOVA to determine if the means an Summary Statistics: Work Study 12.9833 Co-op 13.9508 Internship 15.591 ANOVA Table: Source Between Mean Standard Deviation Sample Size Total SS 40.8695 0.4171 1.6628 0.5337 df MS Within 68.5919 46 1.4911 109.4614 48 15 24 10 F P-value 2 20.4348 13.7045 2.1E-5
The following three independent random samples are obtained from three no with equal variances. The dependent variable is starting hourly wage, and the position (work study, co-op, internship). Software was used to conduct a one-way ANOVA to determine if the means an Summary Statistics: Work Study 12.9833 Co-op 13.9508 Internship 15.591 ANOVA Table: Source Between Mean Standard Deviation Sample Size Total SS 40.8695 0.4171 1.6628 0.5337 df MS Within 68.5919 46 1.4911 109.4614 48 15 24 10 F P-value 2 20.4348 13.7045 2.1E-5
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
![The following three independent random samples are obtained from three normally distributed populations
with equal variances. The dependent variable is starting hourly wage, and the groups are the types of
position (work study, co-op, internship).
Software was used to conduct a one-way ANOVA to determine if the means are equal using a = 0.10.
Summary Statistics:
Work Study 12.9833
13.9508
Co-op
Internship
ANOVA Table:
Source
Between
Within
Mean
Total
15.591
Standard Deviation Sample Size
Work Study vs. Co-op
df
Co-op vs. Internship
0.4171
Work Study vs. Internship
1.6628
0.5337
SS
F
40.8695 2 20.4348 13.7045 2.1E-5
68.5919 46 1.
109.4614 48
MS
1.4911
Perform a Bonferroni test to see which means are significantly different. Round your answers to three
decimal places, and round any interim calculations to four decimal places.
Hint: Make sure to use Bonferroni's adjustment.
Hint: Make sure to use Bonferroni's adjustment.
Hint: Since this post-hoc testing follows an ANOVA, we retain the assumption of equal variances.
Hint: Make sure to use Bonferroni's adjustment.
Test Statistic
-2.4073
15
-5.2309
24
-3.5708 X
10
P-value
Adjusted P-value Statistically significant difference?
0.0201 X
4.0346 X
0.0008 X
Yes
Yes
Yes](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Febc483d3-2de8-4fae-bef0-3b850e85efae%2F7922a9a2-9cd4-44e7-bc9d-02611bbd4204%2F911n494_processed.png&w=3840&q=75)
Transcribed Image Text:The following three independent random samples are obtained from three normally distributed populations
with equal variances. The dependent variable is starting hourly wage, and the groups are the types of
position (work study, co-op, internship).
Software was used to conduct a one-way ANOVA to determine if the means are equal using a = 0.10.
Summary Statistics:
Work Study 12.9833
13.9508
Co-op
Internship
ANOVA Table:
Source
Between
Within
Mean
Total
15.591
Standard Deviation Sample Size
Work Study vs. Co-op
df
Co-op vs. Internship
0.4171
Work Study vs. Internship
1.6628
0.5337
SS
F
40.8695 2 20.4348 13.7045 2.1E-5
68.5919 46 1.
109.4614 48
MS
1.4911
Perform a Bonferroni test to see which means are significantly different. Round your answers to three
decimal places, and round any interim calculations to four decimal places.
Hint: Make sure to use Bonferroni's adjustment.
Hint: Make sure to use Bonferroni's adjustment.
Hint: Since this post-hoc testing follows an ANOVA, we retain the assumption of equal variances.
Hint: Make sure to use Bonferroni's adjustment.
Test Statistic
-2.4073
15
-5.2309
24
-3.5708 X
10
P-value
Adjusted P-value Statistically significant difference?
0.0201 X
4.0346 X
0.0008 X
Yes
Yes
Yes
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