Course Outline
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segmentGetting Started (Don't Skip This Part)
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segmentStatistics and Data Science II
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segmentPART I: EXPLORING AND MODELING VARIATION
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Part I: Exploring and Modeling Variation
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segmentChapter 1 - Exploring Data with R
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segmentChapter 2 - From Exploring to Modeling Variation
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segmentChapter 3 - Modeling Relationships in Data
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segmentPART II: COMPARING MODELS TO MAKE INFERENCES
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segmentChapter 4 - The Logic of Inference
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segmentChapter 5 - Model Comparison with F
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segmentChapter 6 - Parameter Estimation and Confidence Intervals
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segmentPART III: MULTIVARIATE MODELS
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segmentChapter 7 - Introduction to Multivariate Models
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segmentChapter 8 - Multivariate Model Comparisons
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segmentFinishing Up (Don't Skip This Part!)
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segmentResources
list High School / Statistics and Data Science II (XCD)
Book
Part I: Exploring and Modeling Variation
Statistics is the study of variation. In this section we start by introducing tools and techniques - such as data visualizations and summary statistics - for exploring and describing variation.
We then introduce the concept of statistical model. We start with the simplest model, sometimes called the “empty model.” From there we move to more complex models.
We create statistical models in order to:
Explain variation in an outcome variable using one or more explanatory variables, and to better understand the Data Generating Process;
Predict the values of future observations, or samples;
Guide changes we can make to improve the outcomes of the system we are studying.