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;
10 Cards in this Set
- Front
- Back
|
What is X, A, Z, S, N |
X: population mean A: confidence interval Z: z score S: standard deviation N: sample size |
|
|
What is positive and negative correlation? |
Positive: one increases and the other increases Negative: one variable increases the other decreases |
|
|
3 Most common errors of interpreting correlations? |
1. Casuality and direction 2. third variable misreprentation 3. curvilinear relationship |
|
|
Correlation coefficient (Pearsons R) |
-1 to +1 the closer to a one the stronger relationship just dependent on positive or negative. |
|
|
Parametric vs non parametric? |
Parametric used with interval and ratio data. More powerful and can use inferential statistics to draw conclusions about the population. Non parametric used for nominal and ordinal |
|
|
What are the different type of T tests? |
Students t distribution: comparing single mean to known population Correlated/dependent t test: comparing 2 mean scores (pre-post) Independent t test: comparing 2 mean scores (treatment-placebo) |
|
|
Non parametric tests? Parametric tests? |
Non: nominal or ordinal, chi squared Parametric: t-tests ` |
|
|
Positives and negatives of chi square? |
Pro: easy to calculate Cons:less powerful, difficult to avoid type 2 error |
|
|
Validity vs reliability? |
validity: accuracy and quality reliability: consistency and reliable |
|
|
Types of validity |
face: weakest, what seems, no stats content: does it assess info desired? criterion based: results compared to gold standard construct: measure trait, no definitive criteria |
