Hypothesis Testing

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 …

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

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, …

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