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Correct option is C

ANOVA Test: It refers to the Analysis of Variance. It is a parametric test in which we find whether the difference between the mean value of three or more populations is significant. In this data are homogeneous and the standard deviation is unknown.
 Z- test: It is used to determine to what extent a data point is away from its mean of the data set in standard deviation when the sample size is large. It is used when the population variance is known. All samples observation are independent with a mean zero and variance of 1.
 Chi-square Test: It is a statistical test used to describe the magnitude of the difference between theory and observation. It is a non-parametric test. The total sample size should be at least 50 observations. The data should be expressed in original units, not in percentages or ratios so.
 Kruskal-Wallis Test- It is also called H-test. It is used when the assumptions of one-way ANOVA are not met. It is a non-parametric (distribution-free) test. However, like most non-parametric tests, the Kruskal-Wallis test is not as powerful as the ANOVA.