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 12.854 Co-op Internship Mean Standard Deviation Sample Size Total 14.51 15.424 132.542 48 0.5487 Work Study vs. Co-op 1.8888 0.449 ANOVA Table: Source SS df MS P-value Between 44.4586 2 22.2293 11.6086 8.3E-5 Within 88.0834 46 1.9149 Co-op vs. Internship 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. -3.636 Work Study vs. Internship -4.549 15 F 24 -1.755 10 Test Statistic Adjusted P-value Statistically significant difference? 0.002 0.000 0.258 X Yes v Yes v No
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 12.854 Co-op Internship Mean Standard Deviation Sample Size Total 14.51 15.424 132.542 48 0.5487 Work Study vs. Co-op 1.8888 0.449 ANOVA Table: Source SS df MS P-value Between 44.4586 2 22.2293 11.6086 8.3E-5 Within 88.0834 46 1.9149 Co-op vs. Internship 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. -3.636 Work Study vs. Internship -4.549 15 F 24 -1.755 10 Test Statistic Adjusted P-value Statistically significant difference? 0.002 0.000 0.258 X Yes v Yes v No
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 12.854
Co-op
Internship
ANOVA Table:
Source
Mean Standard Deviation
Within
Total
14.51
15.424
SS
df
132.542 48
0.5487
Work Study vs. Co-op
1.8888
88.0834 46 1.9149
Work Study vs. Internship
Co-op vs. Internship
0.449
MS
Between 44.4586 2 22.2293 11.6086 8.3E-5
F
-3.636
Sample Size
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.
-4.549
15
-1.755
24
10
P-value
Test Statistic Adjusted P-value Statistically significant difference?
0.002
0.000
0.258 X
Yes ✓
Yes V
No ✓](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff88b5752-dd79-4075-bd91-33bc819dbb89%2Fd8ce51a8-f244-4e11-8c1e-8ad604d6bedb%2Fw50uq3_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 12.854
Co-op
Internship
ANOVA Table:
Source
Mean Standard Deviation
Within
Total
14.51
15.424
SS
df
132.542 48
0.5487
Work Study vs. Co-op
1.8888
88.0834 46 1.9149
Work Study vs. Internship
Co-op vs. Internship
0.449
MS
Between 44.4586 2 22.2293 11.6086 8.3E-5
F
-3.636
Sample Size
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.
-4.549
15
-1.755
24
10
P-value
Test Statistic Adjusted P-value Statistically significant difference?
0.002
0.000
0.258 X
Yes ✓
Yes V
No ✓
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