Inferential Statistics- RESEARCH METHODS

Question 1

Experimental Hypothesis

Answer 1

• There will be a difference between the two variables

Question 2

Null Hypothesis

Answer 2

• There will be no difference betweem the two variables

Question 3

Probability

Answer 3

• The difference between 2 sets of results has to be big enough that we are 95% confident our difference is due to the independet variable and not due to chance factors
• 5% (0.05) (or less) probability that the results are due to chance factors is the accepted level of significance
• This means that there is a 1 in 20 probability that the difference in results are due to chance factors
• There is a 19 in 20 probability that the difference in results are due to the IV
• 1 in 100 probability that the difference in the results is due to chance factors

Question 4

p = the probability of the null hypothesis being correct (the value of p is the significance level)

Answer 4

if p ≤ 0.05
- There is a less than 5% doubt and more than 95% certainty that the results occured due to the IV and not due to chance factors
- We can reject the null hypothesis and accept the alternate hypothesis

Question 5

p = the probability of the null hypothesis being correct

Answer 5

if p ≥ 0.05
- There is more than 5% doubt and less than 95% certainty that the results occured due to the IV and not due to chance factors
- We can accept the null hypothesis and reject the alternate hypothesis

Question 6

LEARN WHAT STATISTICAL TEST TO USE WHEN….

Question 7

Type I error

Answer 7

• When we reject the null, but the null is true
• We incorrectly conclude a difference exists when one does not

Question 8

Type II error

Answer 8

• When we accept the null, but the null is false
• We failed to find a difference when a true difference exists