If a chi-square test of Independence ends in

Darian Silva

Darian Silva

Answered question

2022-04-06

If a chi-square test of Independence ends in a non-significant result it means that the variables depend on each other.
True or False

Answer & Explanation

seskew192atp

seskew192atp

Beginner2022-04-07Added 12 answers

The hypotheses for the chi-square test of Independence are,
Null hypothesis:
H0: The two variables are independent of each other.
Alternative hypothesis:
Hα: The two variables are dependent on each other.
The result of the statistical test is said to be insignificant when the result of the test fails to be rejected. If the null hypothesis is failed to be rejected then the two variables are independent of each other.
Thus, the statement 'If a chi-square test of Independence ends in a non-significant result it means that the variables depend on each other' is false.

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