Inferential Statistics

Question 1

what are inferential stats?

Answer 1

• stat measures that test the significance of research findings
• results are considered significant if they confirm the alternative hypothesis and reject the null hypothesis

Question 2

standard level of significance

Answer 2

p = 0.05
- 5% probability your results are due to chance

Question 3

type I errors

Answer 3

false positive, occurs when the p value is too high e.g. 0.1

Question 4

type II errors

Answer 4

false negative, occurs when the p value is too low e.g. 0.01

Question 5

why do we use p = 0.05?

Answer 5

it’s most likely to avoid both type I and II errors

Question 6

what is the calculated value?

Answer 6

the number usually a decimal you have once you have completed the analysis of your results using your chosen test
- compared to the critical value

Question 7

what is the critical value?

Answer 7

each test has a pre-determined set of critical values which indicates the min and max value needed for results to be deemed significant