A way of determining whether hypotheses should be rejected or accepted
Whether differences/relationships between variables that have been found during experiments are statistically significant/ or have only occurred by chance
What can a sign test only be used for?
looks for a difference - not correlation
uses a repeated measures design
collected nominal data
What are the first 2 steps in conducting a sign test?
State the hypotheses (including the alternative & null hypothesis)
Record the data and work out the sign
when will the sign be negative?
If the value has decreased in the 2nd condition
when will the sign be positive?
If the value has increased in the 2nd condition
What if the value has stayed the same?
It will be ignored and the Nadjusted to exclude it
What is step 3 of conducting a sign test?
3. Find the calculated value for the sign test , S.
What is the value of S?
The number o times the less frequent sign occurs
What is step 4 of conducting the sign test?
4. Find the critical value of S by using the calculated N value
What is the N value?
The total number of values with the ignored values excluded
What does p≤0.05 mean?
Theres a less than 5% probability that the results occurred by chance
What happens if S ≤critical value?
The null hypothesis is rejected - there is a significant difference
What happens if S≥critical value?
The null hypothesis is accepted - there is no significant difference
What is step 5 of the sign test?
State the conclusion where you refer back to the hypothesis mentioning the IV and DV and support your conclusion with the exact values of the critical value S,N and what p value was used