INDEPENDENCE ASSESSMENT.

Surname: 1
Independent of Type of Employment and Induction Assessment
Name
The Name of the Class (Course)
Professor (Tutor)
The Name of the School (University)
The City and State where it is located
Date

Surname: 2
Testing for the independence of variables requires running the chi-square test for
independence. The tests assess whether two categorical variables are associated (Keller,
2014, p. 599). In this case, we are interested in testing whether the type of employment and
induction are independent. Thus, we will test the hypothesis:
H0: type of employment and induction are independent
Ha: type of employment and induction are not independent
In simple terms, we are carrying out a test to determine whether there is a relationship
between the type of employment and the way in which the induction program was managed.
The analysis was carried out in excel and the results are as follows:
Data
Level of
Significance 0.05
Number of Rows 2
Number of
Columns 2
Degrees of
Freedom 1
Results
Critical Value 3.841
Chi-Square Test
Statistic
128.415
622p-Value
9.1036E
-30
Reject the null hypothesis
Thus, we reject the null hypothesis and conclude that types of employment and induction are
not independent ( χ2 ( 1 )=128.415, p-value < .05) (Sharpe, 2015, p. 3). The summary in simple
terms shows that there is enough evidence to infer that there exists a relationship between the
type of employment and the way in which the induction program was managed. In particular,
the proportion of those in casual/part-time is 0.8011, whereas those in a permanent position
and had completed an induction in new CEX software is 0.1954. The proportion suggests that