Group Report: Independence of Employment and Induction - UTS 26134

This report presents an analysis of the independence between employment type and induction program effectiveness using a chi-square test. The study aims to determine if there is a relationship between the type of employment (casual/part-time vs. permanent) and the way the induction program was managed, particularly concerning the utilization of CEX software. The hypothesis tested is whether employment type and induction are independent. The analysis, conducted in Excel, yields a chi-square test statistic of 128.415622, a p-value < 0.05, leading to the rejection of the null hypothesis. The findings suggest a statistically significant relationship, with a higher proportion of casual employees using CEX software. The report concludes that the organization needs to address this issue to ensure uniform CEX utilization across all employment statuses, regardless of employment type.

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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

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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
128.41562
2
p-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
a higher percentage of those serving customers are employed in a casual position. Therefore,

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the results prove that the concern is valid, that CEX software is being utilized only by casual
workforce because of the way in which the induction program is being managed. The
organization needs to find a remedy to rectify this and ensure that CEX utilization is uniform
among the workers regardless of their employment status.

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Reference List
Keller, G., 2014. Statistics for Management and Economics. 10th ed. Stamford: Cengage
Learning.
Sharpe, D., 2015. Your chi-square test is statistically significant: now what?. Practical
Assessment, Research & Evaluation, 20(8), pp. 1-10.