wilcoxon non para

Question 1

why use wilcoxon?

Answer 1

-difference in scores
-repeated measures
-ordinal data

Question 2

example of alternative hypothesis

Answer 2

“there is a difference in young offenders scores on anger questionnaire before and after treatment” non directional, two tailed

Question 3

example of null hypothesis

Answer 3

“there is no difference in young offenders scores on amber questionnaire before and after treatment “

Question 4

what is step 1 calc a difference and rank the difference

Answer 4

ranking is done on difference between two sets
-when ranking the sings are ignored
-if the difference is zero the data js not included in ranking and deducted from the N value

Question 5

what is step 2 working out the value of T

Answer 5

-the calculated T value is the sum of less frequent signs
- so add up sum of the less frequent sign ranks

Question 6

what is step 3? the calculated and critical values

Answer 6

-calculated value of T is 9
-calculate the critical value of T ( look at 0.05, two or one tailed
-if calculated value is more than the critical value then it’s not significant
- accept null hypothesis

Question 7

look at diagrams in revision folder