Read on to learn more about what a t-test is, the different formulas used, and when to apply each type to compare means and ...

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by researchers to test predictions, called hypotheses. The first step in ...

Sample size and power calculations are available for one-sample and two-sample paired and independent designs where the proposed analysis is hypothesis testing of a mean or means via a t-test. These ...

The z test is a commonly used hypothesis test in inferential statistics that allows us to compare two populations using the mean values of samples from those populations, or to compare the mean of one ...

Having data is only half the battle. How do you know your data actually means something? With some simple Python code, you can quickly check if differences in data are actually significant. In ...

Null hypothesis vs. hypothesis, which is the right choice? When you get into the different methods of analyzing data, there ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...