**Introduction:**

- Hypothesis testing is a statistical method that is used in making statistical decisions using experimental data.
- Hypothesis Testing is basically an assumption that we make about the population parameter.

**Terms using in Hypothesis Testing :**

**Null Hypothesis:** It shows that there is no difference between the means of two population. It denotes by H0.

**Alternate Hypothesis:**Contrary to null hypothesis , there is some deviation of two population. It denotes by Ha.

**Level of Significance:** Degree of significance in which we accept null or alternate hypothesis. Usually we set the level of significance or

We are going to discuss below mentioned test statistics in detailed.

**Hypothesis Testing Steps:**

There are certain steps to perform hypothesis testing which are defined below :

**Interpret the Result:**

There is requirement to understand the result after performing the steps of hypothesis testing. We find the z or t or other statistics table to get the critical value of it and compare the result with the calculated test statistica and come to the conclusion whether null hypothesis gets “failed” or “failed to reject” .

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