Hypothesis Test
One Sample Z Test
One Sample Z Test Description One-sample z-test is a statistical test used to determine if the mean of a single sample is significantly different, from a hypothesized population mean, when the population standard deviation is known. Why to use ...
One Sample T Test
One Sample T Test Description A one-sample t-test is a statistical test for determining if the mean of a single sample varies significantly from a hypothesized population mean. Why to use To determine if there is statistical difference between sample ...
One Sample Proportion Test
One Sample Proportion Test Description A one-sample proportion test is a statistical test used to determine if a single proportion (or percentage) of a population is statistically different from a hypothesized value. Why to use To determine if a ...
Parametric Tests
It is a kind of Statistical method that helps us determine whether to accept or reject the null hypothesis. Parametric tests work on the basic idea that there are a set of fixed parameters that are used to determine the probability model. These tests ...
One Sample Wilcoxon Signed Rank Test
Description One Sample Wilcoxon Signed Rank Test is a non-parametric version of a one-sample t-test. It is used to determine if the median of the sample value is equal to the known standard or theoretical value. Why to use To determine if a single ...
Chi Square Goodness of Fit Test
Chi Square Goodness of Fit Test Description Chi Square Goodness of Fit Test determines whether a categorical variable is likely to be derived from a specified distribution. This test is the same as Pearson’s Chi Square test. Why to use To check ...
Chi Square Test for Independence
Chi Square Test for Independence Description Chi Square Test for Independence determines whether two categorical variables are related or independent. Why to use To test the independence or association between categorical variables. When to use When ...
Chi-square test
Description A Chi-square test is a data analysis process based on random samples of categorical variables. It is mainly used to accept or reject the null hypothesis. The null hypothesis mainly predicts the relation between two independent categorical ...
Mann-Whitney U Test
Description The Mann-Whitney U test is used to compare differences between the two independent groups. The test is a Non-Parametric version of the two-sample T-test. Why to use To determine if the population median of the two groups differs or not. ...
Kruskal Wallis Tests
Description Kruskal-Wallis test is a non-parametric version of one way ANOVA. It determines whether the medians of two or more groups are different. Why to use To identify whether there is a significant difference between the medians in the groups. ...
Non-Parametric Tests
It is a kind of Statistical method that helps us determine whether to accept or reject the null hypothesis. Nonparametric tests are based on the ranks held by different data points. Nonparametric tests don’t assume anything about the distribution ...
Hypothesis Testing
Hypothesis testing is a way to test whether statistical analysis results are valid or not by checking if the results happened accidentally. If the results have happened accidentally, the experiment won’t be repeatable on another data set, leaving it ...