GENDER AND THE YEAR IN COLLEGE.

Running head: GENDER AND THE YEAR IN COLLEGE 1
Is Gender and the Year in College Independent?
Name:
Institution:

GENDER AND THE YEAR IN COLLEGE 2
Chi-square test for independence is applied when the data are in a contingency table to
determine whether two groups of a population of nominal data are statistically independent
(Keller, 2014). This, chi-square test for the contingency table (test for independence) helps in
making inference on whether two groups of the population data are related. This task will
assess whether the sex and the year in college are independent. The cross-classification tables
are important in illustrating the data distribution. This was carried out and the results are as
illustrated below.
Sex
year in college F M Total
Freshman 5 5 10
Juniors 5 5 10
Seniors 5 5 10
sophomores 5 5 10
Total 20 20 40
The chi-square test hypothesis is:
H0: the sex and the year in college are not related
Ha: sex and the year in college are related
The test results are as follows.
Data
Level of
Significance 0.05
Number of Rows 4
Number of Columns 2
Degrees of Freedom 3
Results
Critical Value
7.814727
903
Chi-Square Test
Statistic 0
p-Value 1
Do not reject the null
hypothesis