`Data Science` *Various types of test used in statistics for data science* T-test: used to test whether the means of two groups are significantly different from each other. ANOVA: used to test whether the means of three or more groups are significantly different from each other. Chi-squared test: used to test whether two categorical variables are independent or associated with each other. Pearson correlation test: used to test whether there is a significant linear relationship between two continuous variables. Wilcoxon signed-rank test: used to test whether the median of two related samples is significantly different from each other. Mann-Whitney U test: used to test whether the median of two independent samples is significantly different from each other. Kruskal-Wallis test: used to test whether the medians of three or more independent samples are significantly different from each other. Friedman test: used to test whether the medians of three or more related samples are significantly different from each other. Data Science Free Learning Resources 👇 https://t.me/datascienceresourcestp Join our WhatsApp channel: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R