HYPOTHESIS TESTING Flashcards
It is an assertion concerning characteristics of the population.
statistical hypothesis
Types of Hypothesis:
- null hypothesis which is denoted by H_0
2. alternative hypothesis which is denoted by H_1
Is a statement which uses the equality symbol (=). (Contains phrases like no significant difference, no significant relationship, no significant effect, etc.)
Null hypothesis
Is a statement which will be accepted if the null hypothesis is rejected. It uses ≠,.
Alternative hypothesis
KINDS OF TESTS
- One-tailed test
2. Two-tailed test
This is used when the alternative hypothesis is expressed using the symbols < or >.
One-tailed test
This is used when the alternative test is expressed using the symbol≠.
Two-tailed test
True or False. One-tailed test can either be left-tailed or right-tailed.
True
TYPES OF ERRORS
Type I
Type II
It is committed when a true null hypothesis is rejected
Type I
It is committed when there is a failure to reject a false null hypothesis.
Type II
True or False. Type II is usually considered the more serious error.
False. Type I is usually considered the more serious error.
Denoted by α, is the probability of committing a Type I error. On the other hand, the probability of committing a Type II error is denoted by β.
level of significance
When the level of significance is not indicated, α=____ is used by convention.
0.05
For most research studies, α is usually equated to ____ or ____ depending on the type of the study.
0.05 or 0.01
This helps you determine the significance of your results.
P-value
Also known as calculated probability, is the probability that the null hypothesis is true.
P-value
True or False. A null hypothesis is rejected when the p-value is more than the level of significance.
False. A null hypothesis is rejected when the p-value is LESS THAN the level of significance.
True or False. When a null hypothesis is not rejected, one will say “accept H_0”.
False. When a null hypothesis is not rejected, one CANT say “accept H_0”, rather one should say “failed to reject H_0”.
Steps in Hypothesis Testing
Step 1. State the null and the alternative hypotheses.
Step 2. Set the level of significance.
Step 3. Choose an appropriate statistical tool or test statistic.
Step 4. Compute the test statistic and its p-value.
Step 5. Decide whether to reject or fail to reject the null the hypothesis.
Step 6. State the conclusion.