Identify the parametric tests used for statistical analysis.
(A) t-test
(B) H-test
(C) F-test
(D) U-test
Choose the correct answer from the options given below :

Correct option is D

Parametric tests are statistical tests that assume the underlying data follows a certain distribution, typically a normal distribution, and they rely on parameters like mean and standard deviation.
· t-test (A): A parametric test used to compare the means of two groups to determine if they are significantly different from each other.
· F-test (C): Another parametric test used to compare variances between groups or to test the overall significance in ANOVA.
On the other hand:
· H-test (B), also known as the Kruskal-Wallis H test, is a non-parametric test used for comparing medians across multiple groups.
· U-test (D), also known as the Mann-Whitney U test, is a non-parametric test used to compare differences between two independent groups when the data does not follow a normal distribution.
Information Booster: 1. t-test: Used for comparing means between two groups, assuming data follows a normal distribution.
2. F-test: Employed in comparing variances or analyzing variance in ANOVA.
3. Parametric tests: Assume data follows a specific distribution (usually normal).
4. Non-parametric tests: Used when the assumption of normal distribution is violated.