Many college and university students
obtain summer jobs. A statistics professor wanted
to determine whether students in different degree
programs earn different amounts. A random sample
of 5 students in the B.A., B.Sc., and B.B.A. programs
were asked to report what they earned the
previous summer. The results (in $1,000s) are listed
here. Can the professor infer at the 5% significance
level that students in different degree programs differ
in their summer earnings?
B.A. B.Sc. B.B.A.
3.3 3.9 4.0
2.5 5.1 6.2
4.6 3.9 6.3
5.4 6.2 5.9
3.9 4.8 6.4
H0: μ1 = μ2 = μ3
H1: At least two means are differ
A One-Way ANOVA test was conducted at α = 0.05; the Excel output is provided below.
The F value calculated 3.91 > critical value F(crit) of 3.78. The probability to obtain this result by chance (P-value) was calculated as 0.048 or 4.8 %. So, we are able to conclude that there was significant difference in average between summer earnings of students in different degree programs.