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

Decks in this class (15)

data visualisation
Statistical visualization 1,
Why might we use graphs rather th...,
Histogram 3
8  cards
descriptive statistics
Categorical data factor nominal 1,
Continuous data interval 2,
Ordinal data ordered categorical ...
21  cards
the statistical model
All models we use are wrong 1,
The statistical model 2,
Simple model 3
11  cards
models, populations and estimations
What is a bernoulli distribution 1,
What is a normal distribution 2,
Populations and samples and infer...
12  cards
statistical inference and hypothesis testing
Inference in statistics 1,
An example problem of statistical...,
Hypothesis testing 3
4  cards
inferential statistics
Inferential statistics 1,
Determining analyses 2,
Univariate data 3
12  cards
Pearson’s Correlation
Correlations vs scatterplots 1,
Correlation explaining variability 2,
Variance explained by our model 3
13  cards
linear regression
Why regression 1,
Correlations tell us 2,
Linear regressions tell us 3
11  cards
independent t test
T test 1,
When might we use an independent ...,
Features of the data for an indep...
10  cards
the paired samples t test
When might we use a paired sample...,
Features of the data for a paired...,
What is a paired samples t test 3
10  cards
anova
When might we use a one way anova...,
Features of the data for one way ...,
What is a one way way anova 3
23  cards
Fundamental assumptions of parametric models
Reminders 1,
Why are the model assumptions imp...,
What is a parametric model 3
20  cards
Model evaluation and violations
Model evaluation 1,
Assumptions of parametric models 2,
Using residuals to evaluate models 3
12  cards
Effect Size and Statistical Power
Think about the things that might...,
Effect size 2,
Effect size numerical examples co...
11  cards
Statistical Workflow
Problems with p 1,
But less probable results are sti...,
Publication bias 3
17  cards

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stats1

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