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Chris Sorensen

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Chris Sorensen & Ammul Shergill

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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.

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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

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Lecture 22: The Normal Distribution – Areas, Probabilities, and Percentiles

Study Notes: The Normal Probability Distribution and Standardization

Probability Density Functions, Uniform Distribution, and the Normal Distribution

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