Hypothesis Testing
Null and Alternative Hypotheses
Null hypothesis (H0):
● Hypothesis the researcher wants to reject;the hypothesis that is actually tested;the basis for selection of the test statistics.
Alternative hypothesis (Ha):
● Concluded if there is sufficient evidence to reject the null hypothesis.
Test of Mean:
Test of Two Means:
Difference Between One-and Two-Tailed Tests:(https://www.daowen.com)
One-tailed test:tests whether value is greater than or less than a given number.
● H0: μ
0；H1＞ 0
Two-tailed test:tests whether value is equal to a given number.
● H0: μ=0；H1: μ≠0
Types I and Type II Errors:
● Type I error:rejection of null hypothesis when it is actually true.
● Type II error:failure to reject null hypothesis when it is actually false.
Types of Hypothesis Tests:
