Hypothesis and P value

Question 1

What is the null hypothesis?

Answer 1

There is no statistical difference in risk of events between groups in the population form which samples came from.

Question 2

How do you test for the null hypothesis?

Answer 2

Chi squared test (x2)

This tells us if our hypothesis is true or not.

Question 3

What does it mean if p<0.05?

Answer 3

The null hypothesis is false (result is statistically significant) and highly unlikely to be due to chance.

At p<0.05 it means for an experiment the likelihood of you getting the result if the null hypothesis was true (by chance) is less than 5%. This is so small that the null hypothesis can be rejected.

Question 4

Range and role of p values

Answer 4

P values range from 0 to 1 and test the strength of the null hypothesis