Lesson 4 Flashcards
Descriptive Statistics
= describing the sample on the basis of data collected
Inferential Statistics
= drawing conclusions about a population on the basis of a sample
- Require a representative sample which we expect to get from a large random sample
Null hypothesis
= a statistical theory that states there is no statistical relationship or significance between the variables
Type 1 error
Occurs when we reject a true null hypothesis
e.g. jury convicts an innocent person
Type 2 error
Occurs when we do not reject a false null hypothesis
e.g. jury acquits a guilty person
Process of hypothesis testing (4)
- Hypothesis Formulation
- Specification of significance level
- Selection of appropriate statistical test
- Calculation of the test statistic and acceptance or rejection of the hypothesis
Significance Level
= probability of making a type 1 error
Significance Level for a Type 1 Error
0.01 or 0.001
Significance Level for a Type 2 Error
0.1
Significance Level when Type 1 and Type 2 Error are equally likely
0.05