In Inferential Statistics, there are ways to test and validate our results from an experiment. These methods are called Hypothesis Testing and it can be categorized into two parts. Parametric Testing: This type of tests make assumptions about the Population parameters and the distributions that the data came from. These types of test includes Student’s T tests and ANOVA tests, which assume data is from a normal distribution. Non- parametric Testing: Non-parametric tests are used when there is no or few information available about the population parameters. Z Test: To find test statistics, we can use the below formula. Z test can be done if the below 3 points are satisfied: Sample … Continue reading Inferential Statistics – Hypothesis Testing Part #1