Type 1 and Type 11 errors/probability

Question 1

What is a type 1 error?

Answer 1

• A type 1 error is when the null hypothesis is rejected and the alternative hypothesis is accepted.
• This is often called an optimistic error or a false positive error

Question 2

When are type 1 errors more likely to occur?

Answer 2

• this is likely if the significance level is too lenient at 10 percent rather than 5 percent

Question 3

what is a type 11 error?

Answer 3

• the reverse of a type 1 error where the null hypothesis is accepted when in reality, the alternative hypothesis is true

Question 4

Why are type 11 errors more likely to occur?

Answer 4

• when the researcher uses a more stringent probability level at 0.01

Question 5

What are levels of significance used for?

Answer 5

• levels of significance are the point at which the researcher can claim to have discovered a large enough difference to claim an effect has been found
• This is normally 0.05

Question 6

what is a null and alternative hypothesis?

Answer 6

Null = states there is no difference between the two conditions
Alternative = states there is no difference between the two conditions