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Jason

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Hannah

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Mariya Breyther

Introduction to Microsoft Power BI

Microsoft Power BI

Chris Sorensen

Data Analysis Fundamentals with Excel

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Chris Sorensen & Ammul Shergill

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George Levy

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Lee Donahoe & Michael Hartl

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Michael Hartl

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Jared P. Lander

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From probability to hypothesis testing, statistics concepts are explained step-by-step to build problem-solving skills and exam readiness.

Patrick Ford

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1. Intro to Stats and Collecting Data

2. Describing Data with Tables and Graphs

3. Describing Data Numerically

4. Probability

5. Binomial Distribution & Discrete Random Variables

6. Normal Distribution and Continuous Random Variables

7. Sampling Distributions & Confidence Intervals: Mean

8. Sampling Distributions & Confidence Intervals: Proportion

9. Hypothesis Testing for One Sample

10. Hypothesis Testing for Two Samples

11. Correlation

12. Regression

13. Chi-Square Tests & Goodness of Fit

14. ANOVA

[BOOK STATISTICS] DEFAULT

This statistics study guide covers regression lines, correlation, prediction, residuals, r², outliers, causation, lurking variables, and Simpson’s Paradox.

Lesson 6

Study Guide - Learn with Videos

Scatterplots & Intro to Correlation

Correlation Coefficient

Linear Regression & Least Squares Method

Residuals

Coefficient of Determination

Regression Line Equation and Coefficient of Determination - Excel