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12.11: Learning Outcomes

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    The content, assignments, and assessments for Concepts in Statistics are aligned to the following learning outcomes. A full list of course learning outcomes can be viewed here: Concepts in Statistics Learning Outcomes.

    Module 1: Types of Statistical Studies and Producing Data

    • Types of Statistical Studies
    • Sampling
    • Conducting Experiments

    Module 2: Summarizing Data Graphically and Numerically

    • Categorical vs. Quantitative Data
    • Dotplots
    • Histograms
    • Measures of Center
    • Measures of Spread
    • Describing a Distribution

    Module 3: Examining Relationships: Quantitative Data

    • Scatterplots
    • Linear Relationships
    • Association vs. Causation
    • Linear Regression
    • Assessing the Fit of a Line

    Module 4: Nonlinear Models

    • Exponential Relationships

    Module 5: Relationships in Categorical Data with Intro to Probability

    • Two-Way Tables

    Module 6: Probability and Probability Distributions

    • Another Look at Probability
    • Probability Rules
    • Discrete Probability Distribution
    • Continuous Probability
    • Normal Random Variables

    Module 7: Linking Probability to Statistical Inference

    • Distribution of Sample Proportions
    • Statistical Inference

    Module 8: Inference for One Proportion

    • Estimating a Population Proportion
    • Hypothesis Testing
    • Hypothesis Test for a Population Proportion

    Module 9: Inference for Two Proportions

    • Distribution of Differences in Sample Proportions
    • Estimate the Difference Between Population Proportions
    • Hypothesis Test for Difference in Two Population Proportions

    Module 10: Inference for Means

    • Distribution of Sample Means
    • Estimating a Population Mean
    • Hypothesis Test for a Population Mean
    • Inference for a Difference in Two Population Means

    Module 11: Chi-Square Tests

    • Chi-Square Test for One-Way Tables
    • Chi-Square Test for Two-Way Tables

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