Lecture 7 Interferential Stats Flashcards
What is alpha? And what does it determine
Alpha is the level of significance
It determines the probability of getting your results IF the null hypothesis is true
In other words, if there is NO CHANGE
What does it mean when p value is less than zero
We are confident in rejecting the null hypothesis
What is a type 1 error
Rejecting the null hypothesis when its actually true
In other words, saying there is no change when actually there is change
What is a type 2 error
Failing to reject the null when its actually false
In other words, saying that there is no change but actually there was change
What is beta
Probability of failing to reject the null when its actually false
Other words, its the probability on saying that there is no change when there really was change
What does beta equal to
B = 0.20
What is power
Ability to detect a difference if its truly there
The more powerful your data is, the more ___ you will see
Difference
What does it mean when you decrease your beta?
When you decrease your beta, you decrease the probability of making a type 2 error. (Saying that there is no change but really there is change/difference) when there is difference/change, this increases your power.
The larger your sample size the ___ the difference will be
Greater
