Lecture 9 Flashcards
1
Q
what happens, when we increase the sample size?
A
the power of the test increases
2
Q
define type 1 error
A
the mistaken rejection of the null hypothesis (false positive)
3
Q
define type 2 error
A
the mistaken acceptance of null hypothesis (false negative)
4
Q
sample size is dependent on:
A
significance level (alpha)
power
standard effect size
5
Q
define standard effect size (effect size)
A
○ 0.2-0.3 - “small” effect
○ ~ 0.5 - “medium” effect
>0.8 - “large” effect
6
Q
small effect size requires what size of population:?
A
large
7
Q
large effect size requires what size of population?
A
small
8
Q
can we say that absence of evidence is evidence of absence?
A
no. This can simply mean that there might be lack of statistical power.
