Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
22 Cards in this Set
- Front
- Back
Decision errors
|
Incorrect conclusion in hypothesis testing. Using right procedures, but get wrong decision.
|
|
Type I Error
|
When the null hypothesis is rejected but it is really true.
|
|
Type II Errors
|
Not rejecting the null hypothesis when it is actually false
|
|
Alpha Symbol
|
a
|
|
Alpha
|
Probability of making a type I error
|
|
Beta (B)
|
Probability of making a type II error
|
|
Effect size
|
Measure of differences in population means
|
|
Effect size conventions
|
Standard rules about what to consider a small, medium, and large effect size
|
|
d
|
Symbol for effect size
|
|
Small
Medium Large effect sizes |
.20
.50 .80 |
|
Meta analysis
|
Combine results/ effect sizes from other studies
|
|
Statistical power
|
Probability that the study will give a significant result if research hypothesis is true.
Study will yield a significant result. |
|
Power table
|
Shows statistical powers of a study for various effect sizes and sample sizes
|
|
Caculate effect size
|
Difference between the means, divided by population standard deviation
|
|
Ways to in increase effect size
|
Increasing predicted difference between population means
decreasing population standard deviation increase sample size use a less extreme level of significance use a more sensitive hypothesis testing procedure Or use a onetailed test |
|
Power
|
Ability to reject the null hypothesis
|
|
Degrees of freedom symbol
|
df
|
|
Degrees of freedom formula
|
N-1=
|
|
When would you use the t test
|
For dependant means
took test more than once |
|
T test
|
Population variance is unknown
|
|
Change score/difference score
|
Psychologist create a single score for each client
|
|
repeated measure design
|
Used in t test for dependent means
|