# What is 1 Sample T Test?

## We use 1 sample T test to construct confidence interval of population mean (from sample statistics) for baseline purposes. 1 sample T test helps us check if our process is facing any centering related issues or not. This test can also be used to check if there exist significant statistical difference between the population mean and a reference value (i.e. target). The purpose of the one sample t-test is to determine if the null hypothesis should be rejected, given the sample data. It is important to remember that hypotheses are never about data, they are about the processes which produce the data. The one sample t-test requires the sample data to be numeric and continuous, as it is based on the normal distribution. Continuous data can take on any value within a range (income, height, weight, etc.). The opposite of continuous data is discrete data, which can only take on a few values (Low, Medium, High, etc.)

We use 1 sample T test to construct confidence interval of population mean (from sample statistics) for baseline purposes. 1 sample T test helps us check if our process is facing any centering related issues or not. This test can also be used to check if there exist significant statistical difference between the population mean and a reference value (i.e. target). The purpose of the one sample t-test is to determine if the null hypothesis should be rejected, given the sample data. It is important to remember that hypotheses are never about data, they are about the processes which produce the data. The one sample t-test requires the sample data to be numeric and continuous, as it is based on the normal distribution. Continuous data can take on any value within a range (income, height, weight, etc.). The opposite of continuous data is discrete data, which can only take on a few values (Low, Medium, High, etc.)