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Statistics 1+2 (important concepts)

This class was created by Brainscape user Benthe van de Garde. Visit their profile to learn more about the creator.

By: Benthe van de Garde
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Decks in this class (13)

Lecture 1: Introduction to Statistics
Constructs 1,
Variables 2,
4 kinds of measurement levels 3
12  cards
Lecture 2: Probability Distributions
Frequency distributions 1,
Contingency table 2,
The standard normal distribution ...
11  cards
Lecture 3: The Sampling Distribution
Central limit theorem 1,
The standard error 2,
Confidence interval 3
4  cards
Lecture 4: Hypothesis testing
Hypothesis testing 1,
Equality hypotheses vs inequality...,
Fisher s philosophy on hypotheses 3
12  cards
Lecture 5: Linear Regression
General linear model 1,
Bivariate linear regression 2,
Predictor 3
13  cards
Lecture 6: Sum of Squares
Sum of squared errors sse 1,
Residuals 2,
Goodness of fit 3
11  cards
Lecture 7: Binary Predictors
Binary variables 1,
Regression with binary predictors 2,
Dummy coding 3
9  cards
Lecture 8: ANOVA
Anova 1,
Between group sum of squares 2,
Within group sum of squares 3
7  cards
Lecture 9: Multiple Regression
Multiple regression 1,
Multiple regression formula 2,
Centering predictors 3
14  cards
Lecture 10: Nested models
Nested models 1,
Incremental f tests 2,
Hierarchical regression 3
6  cards
Lecture 11: Interaction
Interaction 1,
Regression equation with interact...,
When would you use interaction 3
7  cards
Lecture 12: Reliability and Validity
Observed vs latent constructs 1,
Measurement error 2,
Contra indicative items 3
13  cards
Lecture 13: Dimension Reduction
Principal components analysis 1,
Exploratory factor analysis efa 2,
Confirmatory factor analysis cfa 3
12  cards

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Statistics 1+2 (important concepts)

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