Probability And Significance, Type 1 And Type 2 Errors

Question 1

Definition of level of significance

Answer 1

The level at which the decision is made to reject the null hypothesis in favour of the experimental hypothesis. It states how sure we can be that the iv is having an effect on the dv, and this is not due to chance

Question 2

What is the definition of chance

Answer 2

Something has no real cause, it just happens

Question 3

What is a type 1 error

Answer 3

This is when we may reject the null hypothesis and accept the experimental hypothesis, however the results of the study are really due to chance and are acc not statistically different.
Since we have made a mistake, we should’ve accepted the null instead

Question 4

What is a type 2 error

Answer 4

This means we accept the null and reject the experimental however the results of the study are statistically significant and are not due to chance
So we have made a mistake and we should’ve accepted the experimental hypothesis

Question 5

What is nominal data

Answer 5

Data that is in categories

Question 6

What is ordinal data

Answer 6

Data that is put in rank order

Question 7

What is interval data

Answer 7

Data has fixed and even intervals

Question 8

What three questions should u ask?

Answer 8

Does the research involve a correlation, a test of difference, or an association?
Which research design is being used? Independent, repeated or matched pairs
Which level of measurement is being used?

Question 9

Difference between parametric and non parametric

Answer 9

More robust and more powerful
They rely on acc data rather than rank order of data

Question 10

What three factors mean a parametric test can be conducted

Answer 10

Interval level of measurement
Normal distribution not skewed
Variance of data