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T-test, ANOVA and Chi Squared test made easy
Statistics doesn't need to be difficult. Using the t-test, ANOVA, or Chi-Squared test as part of your statistical analysis is straightforward. However, you do need to understand the underlying principles of hypothesis testing and p-values. Knowing when to reject the null hypothesis and accept the alternative hypothesis is crucial if you are going to make any inferences about the population from your sample data. If you are conducting any data or statistical analysis, this video is a must-watch. Whether you are an aspiring data scientist or engaging in quantitative research, this is an excellent starting point.
