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## What is the Meaning of Hypothesis Testing?

Hypothesis testing is a statistical method used to make decisions about a population based on a sample. It is used to determine whether a given hypothesis is true or false. The goal of hypothesis testing is to make an educated guess about a population parameter, such as the mean or standard deviation, based on sample data.

Hypothesis testing is a process that involves formulating a hypothesis, collecting data, analyzing the data, and interpreting the results. The hypothesis is the statement that is being tested. It is important to note that the hypothesis is not necessarily true, but rather is an educated guess about the population parameter.

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The data is collected from a sample of the population. This sample should be representative of the population and should be collected in a random manner. Once the data is collected, the data is analyzed using a variety of statistical techniques, such as t-tests, ANOVA, and chi-square tests.

The results of the analysis are then interpreted to determine if the hypothesis is true or false. If the results of the analysis show that the hypothesis is true, then the hypothesis is accepted. If the results of the analysis show that the hypothesis is false, then the hypothesis is rejected.

Hypothesis testing is an important tool in the field of statistics and is used in a variety of fields, such as medicine, economics, and psychology. It is used to make decisions about a population based on a sample. By analyzing the data collected from the sample, hypothesis testing can help determine whether a given hypothesis is true or false.