Pre-recorded Videos for Introduction to Statistics and Data Science

Session 1

Reproducible Research with R, RStudio, and R Markdown

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Session 2

Exploratory Data Analysis and Data Vizualization I

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Exploratory Data Analysis and Data Vizualization II

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Session 3

Working with Data I

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Working with Data II

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Session 4

Working with Data III

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Exploratory Data Analysis and Data Vizualization III

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Session 5

Probability

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Session 6

Probability Distributions and the Central Limit Theorem

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Session 7

Probability Distributions and the Central Limit Theorem II

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Probability Distributions and the Central Limit Theorem III

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Session 8

Inference: Estimation of Population Parameters and their Margin of Error - Continuous Data

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Session 9

Inference: Null Hypothesis Tests and Significance

Null Hypothesis Significance Tests

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Null Hypothesis Significance Tests in R

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Session 10

Inference: Null Hypothesis Tests and Significance

Null Hypothesis Significance Tests III - Continuous Data I

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Session 11

Inference: Null Hypothesis Tests and Significance

Null Hypothesis Significance Tests III - Continuous Data II

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Session 12

Inference: Null Hypothesis Tests and Significance

Categorical Data: Estimation, Effect Size, and Margin of Error

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Categorical Data: Null Hypothesis Significance Tests

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Session 13

Experiment and Survey Design: Randomization and Measurement

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