## Hypothesis Testing

In this tutorial, we will discuss Hypothesis Testing. Before Hypothesis Testing, Let’s first see what is research hypothesis:

Key Points:

1. What is Hypothesis or Research Hypothesis?

2. Parameters and Statistics?

3. Hypothesis Testing?

3. Hypothesis Examples?

### 3.Hypothesis Testing:

##### Basic concepts in the context of testing hypotheses need to be explained:

A. Null Hypothesis and Alternate Hypothesis.

B. Sampling Errors.

C. The level of significance.

D. Two-tailed and One-tailed tests.

E. Normal Distribution

### A. Null Hypothesis and Alternate Hypothesis:

1. Null Hypothesis (H0):
• A Null Hypothesis is an assumption statement, states that there is ‘no difference’, ‘no change’, ‘no relationship’ and ‘no effect’ between the two variables being studied (one variable does not affect the other).
2. Alternate Hypothesis(Ha or H1):
• It is the opposite of null hypothesis.
• The alternative hypothesis is an assumption states that there is a relationship between the two variables being studied (one variable has an effect on the other).

Note: In Hypothesis Testing, only null hypothesis is tested. Alternate hypothesis is not tested.

### B. Sampling Errors:

In the context of testing of hypotheses, there are basically two types of errors:

1) Type I Error

2) Type II Error

#### 2) Type II Error

##### Examples of Type I and Type II Errors in the Research

Note: Type I errors are in general considered more serious than Type II errors.

## Kurtosis:

### 4.Hypothesis Examples:

Research question /Hypothesis and Null Hypothesis

You Should Learn Procedure for hypothesis testing or Better Performance

You should learn previous year solution on this topic. GO Below

Hypothesis Testing

Hypothesis Testing

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