# Statistical Hypothesis Testing (Statistical Significance Testing – Simple Easy Lecture Notes)

“Truth can be stated in a thousand different ways, yet each one can be true…”
Swami Vivekananda

## What is ‘Test of Hypothesis’?

Ø  Test of Hypothesis (Hypothesis Testing) is a process of testing of the significance regarding the parameters of the population on the basis of sample drawn from it.

Ø  Test of hypothesis is also called as ‘Test of Significance’.

Ø  J. Neyman and E.S. Pearson initiated the practice of testing of hypothesis in statistics.

What is the purpose of Hypothesis Testing?

Ø  The main purpose of hypothesis testing is to help the researcher in reaching a conclusion regarding the population by examining a sample taken from that population.

Ø  The hypothesis testing does not provide proof for the hypothesis.

Ø  The test only indicates whether the hypothesis is supported or not supported by the available data.

What is Hypothesis?

Ø  Hypothesis is a statement about one or more populations.

Ø  It is a statement about the parameters of the population about which the statement is made.

Ø  Example:

\$  A doctor hypothesized: “The drug ‘X’ is ineffective in 99% of cases of which it is used”.

\$  “The average pass percentage of central university degree programme is 98”.

Ø  Through the hypothesis testing the researcher or investigator can determine whether or not such statements are compatible with the available data.