Question

In: Statistics and Probability

Stephanie is curious in knowing whether there is a relationship between gender and the area of...

Stephanie is curious in knowing whether there is a relationship between gender and the area of interest. She randomly sampled some students and collects the following info. Her objective is find out if the gender influences the choice of the field to study.

Science Arts Business Total
Male 27 28 45 100
Female 20 41 54 115
Total 47 69 99 215

1. How many degrees of freedom should she use for the Chi-Square test?

2. What is the Chi-Squared statistic for this test?

3. What is P-value for this test? Use Excel's CHISQ.DIST function.

4. Based on the Chi-Squared test for Independence, can you say that the gender and the choice of study field are independent?

Solutions

Expert Solution

Solution:

Given: We have to test if there is a relationship between gender and the area of interest. Objective is find out if the gender influences the choice of the field to study.

Thus hypothesis of the study are:

H0: the gender and the choice of study field are independent

Vs

H1: the gender and the choice of study field are not independent

Science Arts Business Total
Male 27 28 45 100
Female 20 41 54 115
Total 47 69 99 215

Part 1. How many degrees of freedom should she use for the Chi-Square test?

df = ( R - 1) X ( C - 1)

R = Number of rows = 2

C = Number of Columns = 3

Thus

df = ( R - 1) X ( C - 1)

df = ( 2 - 1) X ( 3 - 1)

df = ( 1) X ( 2)

df = 2

Thus degrees of freedom = 2

Part 2. What is the Chi-Squared statistic for this test?

Formula:

Oij = Observed frequencies for ith row and jth column.

Eij = Expected frequencies for ith row and jth column.

Thus we need to make following table in column format:

Oij Eij Oij2/Eij
27 21.8605 33.348
28 32.0930 24.429
45 46.0465 43.977
20 25.1395 15.911
41 36.9070 45.547
54 52.9535 55.067
N = 215

Part 3. What is P-value for this test? Use Excel's CHISQ.DIST function.

For Chi-square goodness of fit test, it is always right tailed test and hence we use following excel command:

=CHISQ.DIST.RT( x ,   df )

=CHISQ.DIST.RT( 3.279 , 2)

=0.1941

Thus P-value = 0.1941

Part 4. Based on the Chi-Squared test for Independence, can you say that the gender and the choice of study field are independent?

Since P-value = 0.1941 > 0.05 significance level, we fail to reject null hypothesis H0.

Thus we conclude that: the gender and the choice of study field are independent


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