Question

In: Statistics and Probability

Registered Course Online Campus <$40,000 35 56 $40,000 - $75,000 24 41 >$75,000 19 26 The...

Registered Course
Online Campus
<$40,000 35 56
$40,000 - $75,000 24 41
>$75,000 19 26

The data listed above is from a study conducted to determine whether students of certain income brackets preferred online or face-to-face courses.

a.) Why must we use a non-parametric test for such data?

b.) Conduct a chi-square test for independence on the data set, and interpret your results.

Solutions

Expert Solution

(a) Because we have 2 categorical variables with unknown sample parametric.

(b) The hypothesis being tested is:

H0: Students of certain income brackets preferred online or face-to-face courses

Ha: Students of certain income brackets did not preferred online or face-to-face courses

Col 1   Col 2   Total  
Row 1 Observed   35 56 91
Expected   35.31 55.69 91.00
O - E   -0.31 0.31 0.00
(O - E)² / E   0.00 0.00 0.00
Row 2 Observed   24 41 65
Expected   25.22 39.78 65.00
O - E   -1.22 1.22 0.00
(O - E)² / E   0.06 0.04 0.10
Row 3 Observed   19 26 45
Expected   17.46 27.54 45.00
O - E   1.54 -1.54 0.00
(O - E)² / E   0.14 0.09 0.22
Total Observed   78 123 201
Expected   78.00 123.00 201.00
O - E   0.00 0.00 0.00
(O - E)² / E   0.20 0.13 0.32
.32 chi-square
2 df
.8510 p-value

The p-value is 0.8510.

Since the p-value (0.8510) is greater than the significance level (0.05), we fail to reject the null hypothesis.

Therefore, we can conclude that students of certain income brackets preferred online or face-to-face courses.


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