The manager of an agency providing temporary employees to city offices is analyzing the number of days temporary hires typically work in various types of industries.
The data are as follows:
Legal clerical: 2, 1, 4, 4, 2 5, 6
Accounting firms: 3, 6, 4, 5, 5, 7, 8
Insurance: 5, 4, 7, 9, 9, 8, 11
Using the data above, answer the following questions: Are there significant differences in the length of time temporary employee’s work in the different industries? How much of the differences can be explained by the industry? Which groups are significantly different from others? Why would a manager be focused on measuring the number of days that a temporary works each week?
The hypothesis testing problem is
H0 : There are no significant differences in the length of time temporary employee’s work in different industries. That is m1 = m2 = m2.
H1 :At least one mean is different from the other.
ANOVA: Single Factor