Answer :
Answer:
No the conditions for this test are not met, as 20% of the data has expected value less than 5. And 37.5% data is equal to 5.
Step-by-step explanation:
The conditions for the chi square test independence are
1) the sample is a random sample
2) the variable under study is categorical
3) all expected value of the number of sample observations are greater or equal to 5.
A)The observations must be independent
B) for 2 categories the expected values must be at least 5
C) for the 3 categories the expected values must be at least 1 and no more than 20% may be smaller than 5
The observations given have equal chances of occurrences or are dependent on each other.
The sample collected has 20 % of data having expected values less than 5.
And 37.5% data is equal to 5.
We cannot use a chi-square test to determine whether these two distributions differ significantly because the expected value for some cells is less than 5.
What are the requirements for chi square test of independence?
- The variables under study must be categorical
- Sample is random sample
- The expected frequency count for each cell of the contingency table is at least 5.
For the considered case, the sample is not large enough.
Although the sample was taken randomly and values are categorical, expected values are sometimes less than 5 for some cells of the contingency table.
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