Data
Η0: Success in exams and teacher evaluation are independent.
Η1: not Η0.
Chi square test of independence
1. Insert data
2. Apply test
3. Understand the significant result
The above example is contained in the paragraph 3.3 of the book "Στατιστική ανάλυση με τη γλώσσα R" (in Greek, ISBN: 978-960-93-9445-1) published in Thessaloniki, 2017.
Teacher evaluation
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||||||
Result
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Very negative
|
Negative
|
Neutral
|
Positive
|
Very positive
|
Total
|
Fail
|
10
|
11
|
5
|
8
|
8
|
42
|
Success
|
6
|
8
|
6
|
15
|
25
|
60
|
Total
|
16
|
19
|
11
|
23
|
33
|
102
|
Η0: Success in exams and teacher evaluation are independent.
Η1: not Η0.
Chi square test of independence
1. Insert data
the.table = matrix(c(10, 11, 5, 8, 8, 6, 8, 6, 15, 25), 2, 5, byrow=TRUE) rownames(the.table) = c('Fail', 'Success')
colnames(the.table) = c('Very negative', 'Negative', 'Neutral', 'Positive', 'Very positive')2. Apply test
my.test = chisq.test(the.table)
print(my.test)
3. Understand the significant result
print(round(my.test$residuals, 1))
The above example is contained in the paragraph 3.3 of the book "Στατιστική ανάλυση με τη γλώσσα R" (in Greek, ISBN: 978-960-93-9445-1) published in Thessaloniki, 2017.
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