A hypothesis can be a simple sentence or statement about a property or any phenomenon observed or predicted for a population. It is usually a claim about ...

The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These ...

The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing. In hypothesis testing, a sample ...

P-value is one of the most crucial concepts in statistics. P-value stands for the probability value.  P-value is the probability that, if the null ...

There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed. When the null and alternative hypotheses are stated, it is observed ...

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it. First, a ...

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using ...

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, ...

When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision ...

A complete procedure for testing a claim about a population proportion is provided here. There are two methods of testing a claim about a population ...

A complete procedure of testing the hypothesis about a population mean is explained here. Estimating a population mean requires the samples to be ...

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here. Estimating a ...

A complete procedure to test a claim about population standard deviation or population variance is explained here. The hypothesis testing for the claim of ...