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Jules

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Patrick

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Jason

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Brian

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Bruce

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Johnny

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Kylia

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Callie

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Nick

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Business Statistics

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Nutrition

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Sociology

Hannah

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Beginning & Intermediate Algebra

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Dive deep into Python with videos and more.

Introduction to Python

Arianne Dee

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Mariya Breyther

Introduction to Microsoft Power BI

Microsoft Power BI

Chris Sorensen

Data Analysis Fundamentals with Excel

Data Analysis - Excel

Chris Sorensen & Ammul Shergill

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George Levy

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HTML, CSS & Layout

Lee Donahoe & Michael Hartl

Learn Enough JavaScript to be Dangerous: A Tutorial Introduction to Programming with JavaScript

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Michael Hartl

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Jared P. Lander

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Digital Marketing

Mike Moran

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Jeffrey K. Pinto

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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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Patrick Ford

Callie Rethman

Colleen Daly

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

Statistics Study Guide: Chapters 1, 2 & 3

Intro to Collecting Data

Sampling Methods

Dot Plots

Stemplots (Stem-and-Leaf Plots)

Histograms

Frequency Distributions

Mean

Percentiles & Quartiles

Interpreting Standard Deviation

Boxplots

Standard Deviation

Probabilities & Z-Scores w/ Graphing Calculator