Match the following (write the appropriate number next to the definition) t-test Chi-square test Fisher's exact test ANOVA (Analysis of variances) McNemar's test This is a non-parametric test. This is a two sample test for binomial proportions for matched pair data This is a parametric test. With one sample, it can be used to test the sample mean against some specified value. With two samples, it can be used to compare means. The samples can be independent or paired. It can be one-tailed or two-tailed. This is a non-parametric test. It is used for nominal variables. This compares the frequency count of what is theoretically expected vs. what is actually observed. E.g. It can determine differences between proportions. This is a non-parametric test. Used for two-sample problem with binomial distribution and independent samples; all values are expected to be <5. This is used for two or more groups. It can be one way or two ways .The dependent variable is interval level and the independent variable(s) are nominal. It assumes normal distribution