Type 1, Type 2 Errors

Question 1

Type 1

Answer 1

• null hypothesis is rejected when it should be accepted- results may have been down to chance.
• may happen because the significance level is too lenient- easier to accept alternate hypothesis.

Question 2

Type 2

Answer 2

• null hypothesis is accepted when it should be rejected- possibility the results were caused by experimental manipulation so are significant
• may be caused because the significance level is too strict- easier to reject alternate hypothesis