This class was created by Brainscape user Emma Bonnick. Visit their profile to learn more about the creator.

Decks in this class (16)

Introduction
Definition of falsifiable 1,
Parsimonius 2,
Definition of theory 3
41  cards
Descriptive statistics in univariate data
Univariate data 1,
What are measures of central tend...,
Mean 3
13  cards
Inferential stats
What is inferential stats 1,
Conditional probability calculati...,
Conditional probability calculati...
19  cards
Confidence intervals
What is a ci 1,
Calculate lower bound 2,
Calculate upper bound 3
6  cards
z distribution
What does a z disturbution do 1,
Calculate standard error of mean 2,
How does sample size effect se 3
6  cards
ANCOVA
Covariates 1,
Use of ancova 2,
Benefit of ancova 3
16  cards
Factorial ANOVA
2 variables is called 1,
Benefit of factorial anova 2,
When is there likely to be an int...
7  cards
Correlation
What is correlation 1,
1st stage of correlation 2,
Pearson s r calculation 3
16  cards
Regression
What is regression 1,
Linear model of regression 2,
What method is used to find the l...
16  cards
Multiple regression
When is r2 the standardised beta 1,
Multiple regression equation 2,
How is adjusted r2 calculated 3
17  cards
T-tests
Generic t test equation 1,
What does a small sample result i...,
What does a larger t value mean 3
8  cards
Measures of variance
Deviance 1,
Sum of squared error 2,
Variance 3
5  cards
ANOVA
What does an anova do 1,
Is anova an omnibus test 2,
Why can t you do multiple t tests 3
17  cards
One way repeated ANOVA
Benefits of repeated measures 1,
Problems with repeated measures 2,
How to combat problems with repea...
9  cards
Categorical data
What s pearsons chi for 1,
Pearsons chi formula 2,
Expected value formula 3
13  cards
Non parametric tests
Why use non parametric tests 1,
What does error does non parametr...,
Why use ranked data 3
20  cards

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RDS

  • Class purpose General learning

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