Hypothesis Testing

Question 1

What is a hypothesis

Answer 1

• Your prediction of how specific variables might be related to one another

Question 2

What is a null hypothesis

Answer 2

• There will be no relationship or difference between the variables

Question 3

What us null hypothesis testing

Answer 3

• Inferential statistical tests to see whether the null hypothesis should be accepted or rejected
• Shows the probability of whether null hypothesis has occurred by chance
• High value would indicate there is high probability the results are due to chance

Question 4

Describe significance level

Answer 4

• Probability associated with inferential test called p value
• Ranges from 0-1
• Tells us whether results are significant or non-significant
• Significant = p value lower than 0.5
• Non-significant = p value is above 0.5

Question 5

Describe statistical significance

Answer 5

• These results occur when the probability of null hypothesis being true is less than 5%
• If a statistically significant difference occurs it doesn’t mean it is psychologically significant

Question 6

Describe:

• Type 1 error
• Type 2 error

Answer 6

• Rejecting null hypothesis when it is true

- When null hypothesis is accepted when it shouldn’t be

Question 7

What is probability that results are due to chance?

Answer 7

• 1 in 20, due to human error