A random sample of 30 executives from companies with assets over $1 million was selected and
Asked for their annual income and level of education. The ANOVA comparing the average income
Among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was
243)7. The following table summarized the results:
When comparing the mean annual incomes for executives with a High School education or less and
Undergraduate Degree, the 95% conﬁdence interval shows an interval of 11.7 to 42.7 for the
Difference. This result indicates that:
A) there is no signiﬁcant difference between the two incomes.
B) the interval contains a difference of zero.
C) executives with an Undergraduate Degree earn signiﬁcantly more than executives with a High School education or less.
D) executives with an Undergraduate Degree earn signiﬁcantly less than executives with a High School education or less.

Question

A random sample of 30 executives from companies with assets over $1 million was selected and
Asked for their annual income and level of education. The ANOVA comparing the average income
Among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was
243)7. The following table summarized the results: 
When comparing the mean annual incomes for executives with a High School education or less and
Undergraduate Degree, the 95% conﬁdence interval shows an interval of 11.7 to 42.7 for the
Difference. This result indicates that:
A) there is no signiﬁcant difference between the two incomes. 
B) the interval contains a difference of zero. 
C) executives with an Undergraduate Degree earn signiﬁcantly more than executives with a High School education or less. 
D) executives with an Undergraduate Degree earn signiﬁcantly less than executives with a High School education or less.

Quizplus · Accepted Answer

executives with an Undergraduate Degree earn signiﬁcantly more than executives with a

A Random Sample of 30 Executives from Companies with Assets