Hypothesis Testing

Question 1

What is the null hypothesis?

Answer 1

It is a statement that assumes that there is no difference between the observed rates between two groups. We can assume it’s true and then find the likelihood of gaining this value.

Question 2

If p

Answer 2

We reject it because we can be 95% sure that the observed value cannot of occurred if the true value is the null.

Question 3

What do we say about a hypothesis if p>0.05?

Answer 3

We can say that the result is not statistically significant so we cannot reject the null hypothesis.

Question 4

How do we calculate 95% confidence intervals?

Answer 4

Lower CI = observed value / error factor

Upper CI = observed value * error factor

Question 5

Why can we never be sure of the true value of a trial?

Answer 5

All trials are subject to random variation and this means that we can never be certain about what exactly the true value is. We can just know what it is close too.