In: Statistics and Probability
Statistical hypothesis:statistical hypothesis sometimes called confirmatory data analysis is a hypithesis that is testable on the basis of observing process that is modeled of set of random variables.
Null hypothesis: The hypothesis that there is no significat difference between specified populations and observed difference being due to sampling and experimental error. It is denoted by H0
Alternative Hypothesis: it is denoted by H1.The alternative hypothesis is a hypothesis used to hypothesis testing that is contractory to the null hypothesis.
Critical region: critical region is the set of outcomes of a statistical test for which the null hypothesis is to be rejected.
Significance level: significance level is defined as the probability of rejecting null hypothesis by the test when it is true.it is denoted by alpha. Alpha=P(type of l error)
Types of hypothesis tests: normality: test of normal distribution for population sample.
Two types of errors hypothesis tests:
Type I error: rejecting H0 when it is true
Type II error: Accepting H1 when it is false