Probability and significance

Question 1

What do statistical tests show?

Answer 1

Significance

Question 2

What is a null hypothesis?

Answer 2

“there will be no significant difference…”

Question 3

What does a significant result mean we can do to the null hypothesis?

Answer 3

Reject it

Question 4

What statistical level is usually used?

Answer 4

0.05

Question 5

What does statistical level 0.05 mean?

Answer 5

The probability of the observed effect is equal to or less than 5% due to chance

Question 6

If the statistical test has an R in its name, what does the calculated value in relation to the critical value to be significant?

Answer 6

Greater

Question 7

If the statistical test has no R in its name, what does the calculated value have to be in relation to the critical value to be significant?

Answer 7

Less than

Question 8

What is a one tailed hypothesis?

Answer 8

Predicts the direction of the results

Question 9

What is a two tailed hypothesis?

Answer 9

Predicts significant difference but doesn’t say what direction

Question 10

What is a type 1 error?

Answer 10

When the null hypothesis is rejected and the alternative hypothesis is accepted when it should have been the other way around because the null is true

Question 11

What is a type 2 error?

Answer 11

When the null is accepted but it should have been the reverse because the alternative hypothesis is actually true

Question 12

When are we more likely to make a type 1 error?

Answer 12

When the level of significance is too lenient

Question 13

When are we more likely to make a type 2 error?

Answer 13

If the level of significance is too stringent