Answer:
1. t-test: This is a statistical test used to compare the means of two samples. It is used to determine whether the difference between the two samples is statistically significant.
2. F-test: This is a statistical test used to compare the variances of two samples. It is used to determine whether the difference between the two samples is statistically significant.
3. Chi-square test: This is a statistical test used to compare the observed frequencies of two or more samples. It is used to determine whether the difference between the observed frequencies is statistically significant.
4. Z-test: This is a statistical test used to compare the means of two populations. It is used to determine whether the difference between the two populations is statistically significant.
5. ANOVA: This is a statistical test used to compare the means of three or more samples. It is used to determine whether the difference between the means of the samples is statistically significant.
Approaches of test statistics
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