![]() So, these samples and the sample means are validated through various hypothesis testing methods like the P-value method, Critical Value method, T-test, ANOVA test, etc.įor example, consider a store that sells electronic devices. For making correct inferences, our sample datasets need to resemble the properties of the population dataset. These ranges can deviate from very close to very far from the population mean. These samples mean values usually vary from the population mean by different ranges. ![]() Similar to population, these sample datasets also have some mean and standard deviation associated. The population is the entire dataset, whereas Sample Datasets are chunks from the Population Dataset. ![]() Through that analysis, we make inferences on the whole population. Usually, we get Sample Datasets to work on and perform data analysis and visualization and find insights. Photo by Chris Liverani on Unsplash Why Hypothesis Testing is done
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