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\nFitting Models Is like Tetris - Crash Course Statistics \n

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\n\nPublisher:\n\nCrash Course\n\n\n
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\nToday we're going to wrap up our discussion of General Linear Models (or GLMs) by taking a closer looking at two final common models: ANCOVA (Analysis of Covariance) and RMA (Repeated Measures ANOVA). We'll show you how additional...\nToday we're going to wrap up our discussion of General Linear Models (or GLMs) by taking a closer looking at two final common models: ANCOVA (Analysis of Covariance) and RMA (Repeated Measures ANOVA). We'll show you how additional variables, known has covariates can be used to reduce error, and show you how to tell if there's a difference between 2 or more groups or conditions. Between Regression, ANOVA, ANCOVA, and RMA you should have the tools necessary to better analyze both categorical and continuous data. \n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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10:27
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Grade
12th - Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nCrash Course Statistics\n\n
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Date
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2018
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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data, variables, statistics
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Additional Tags

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mathematics, significant effect, anova table, error variation, hair color, infants, effect, variation due, significant difference, combine categorical, tetris, collect data, ancova model, wait, outcome variable, anova, variation, pretty high, experiments, models, matched pairs, total variation, anesthesia, simple case, science, continuous variables, ancova, predict, anesthetic, significant, error, maths, experimental unit, music tempo
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Classroom Considerations

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Best For: Explaining a topic
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