Peer Review

This site is basically a hypothesis testing calculator. The first step in hypothesis testing is to calculate the test statistic. The formula for the test statistic depends on whether the population standard deviation (σ) is known or unknown. If σ is known, our hypothesis test is known as a z test and we use the z distribution. If σ is unknown, our hypothesis test is known as a t test and we use the t distribution. Use of the t distribution relies on the degrees of freedom, which is equal to the sample size minus one. Furthermore, if the population standard deviation σ is unknown, the sample standard deviation s is used instead. To switch from σ known to σ unknown, click on σ and select s in the Hypothesis Testing Calculator.

Simulation

In-class group activities, self study, home assignments, and for users who are professionally interesed in hypothesis testing for lab experiments. 

any browser. 

The goals of this site are provide users with step-by-step elementery information with examples about how to use hypothesis testing calculator, and how to explain their results to determin p-values and make decisions. Users can benefit from the given instructions about this calculator and the process of hypothesis testing.

Basic statistics class in undergraduate level and high school students. 

Basic descriptive and inferential statistics, where students should have basic understanding hypothesis testing concepts, including null and alternative hypotheses, significance levels, and test statistics. Basic knowledge of normal distributions. Reading charts, p-values, and confidence intervals generated by the calculator. Finally, interpreting the results correctly and applying them to decision-making.