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 = 0.05. Summary Statistics: Work Study 13.036 Co-op 14.675 Internship 15.336 ANOVA Table: Source Between Mean Within Total Standard Deviation Sample Size Work Study vs. Co-op df Co-op vs. Internship 0.5436 Work Study vs. Internship 1.5636 0.521 SS MS F P-value 38.0701 2 19.0351 13.94 1.9E-5 62.8114 46 1.3655 100.8815 48 15 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. Test Statistic Adjusted P-value Statistically significant difference? 24 100 10 ? ? ?

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Author:Amos Gilat
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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 = 0.05.
Summary Statistics:
Mean
Work Study 13.036
Co-op 14.675
Internship 15.336
ANOVA Table:
Source
Between
Within
Total
Standard Deviation Sample Size
100.8815 48
Work Study vs. Co-op
0.5436
SS
df
38.0701 2 19.
62.8114 46 1.3655
Work Study vs. Internship
Co-op vs. Internship
1.5636
0.521
MS
15
24
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.
Test Statistic Adjusted P-value Statistically significant difference?
10
F P-value
19.0351 13.94 1.9E-5
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 = 0.05. Summary Statistics: Mean Work Study 13.036 Co-op 14.675 Internship 15.336 ANOVA Table: Source Between Within Total Standard Deviation Sample Size 100.8815 48 Work Study vs. Co-op 0.5436 SS df 38.0701 2 19. 62.8114 46 1.3655 Work Study vs. Internship Co-op vs. Internship 1.5636 0.521 MS 15 24 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. Test Statistic Adjusted P-value Statistically significant difference? 10 F P-value 19.0351 13.94 1.9E-5
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