TYPE 1 AND TYPE 2 ERRORS

Question 1

False positive

Answer 1

We may have to accept the alternative hypothesis when actually the null hypothesis was true.
(Even with a 5% probability results for 2 conditions occurred due to chance, we are still only 95% certain)

Question 2

False negative

Answer 2

We reject the alternative hypothesis and accept the null when actually alternative was true

Question 3

Type 1 error

Answer 3

False positive
Accept alternative when really null was true.
(null rejected)

Question 4

Type 2 error

Answer 4

False negative
Accept null when really alternative was true.
(reject alternative, lead you to affirm null)

Question 5

‘loose level’

Answer 5

p < 0.05 more prone to type 1 error (false positive)

Question 6

‘stringent level’

Answer 6

p < 0.01 more likely to make type 2 error (false negative) rejecting alternative when it was true.

Question 7

highest level of significance

Answer 7

P < 0.01
(least amount of chance factors affecting results)

Question 8

“not statistically significant at the 5% level”

Answer 8

Probability was higher than 5%, null hypothesis is rejected.