Student's t-test is useful for testing the
1.Significance of difference between two sample means
2.Independence of attributes
3.Significance of correlation coefficient
4.Analysis of variance
A1 & 2 only
B2 & 3 only
C3 & 4 only
D1 & 3 only ✓ Correct
Correct answer: (D) 1 & 3 only
Explanation
Student's t-test tests the significance of the difference between two sample means and the significance of a correlation coefficient.
Testing the independence of attributes belongs to the chi-square test, not the t-test.
Analysis of variance is handled by the F-test when three or more means are compared.
Options pairing the t-test with independence or variance analysis therefore misassign the technique.
The t-test suits small samples where the population standard deviation is unknown.
William Gosset devised the t-distribution in 1908 under the pen name Student.
Want more like this? Create a free account to practise a full test, track your progress, and get spaced-repetition review.
Practise on Mcqkart →🎓 Book an expert →