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…”
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.
$ 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.