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Jules

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Physics

Patrick

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Jason

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Brian

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Psychology

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Bruce

College Algebra covers algebraic topics and skills necessary to succeed in college-level math

College Algebra

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Johnny

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Kylia

GOB Chemistry

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Intro to Chemistry

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Cell Biology

Analytical Chemistry

Study topics incliding trogonometric functions, identities and equations, solutions of triangles, complex numbers, and other topics as time permits

Trigonometry

Callie

Learn the toughest concepts covered in Precalculus with step-by-step video tutorials and practice problems by world-class tutors

Precalculus

Nick

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Calculus

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Business Calculus

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Business Statistics

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Statistics

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Macroeconomics

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Personal Health

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Nutrition

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Medical Terminology

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Sociology

Hannah

Dive deep into Beginning Algebra with videos, practice problems, and more.

Beginning Algebra

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Intermediate Algebra

Dive deep into Beginning & Intermediate Algebra with videos, practice problems, and more.

Beginning & Intermediate Algebra

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Dive deep into Python with videos and more.

Introduction to Python

Arianne Dee

Agile Project and Product Management

Agile & Product Management

Mariya Breyther

Introduction to Microsoft Power BI

Microsoft Power BI

Chris Sorensen

Data Analysis Fundamentals with Excel

Data Analysis - Excel

Chris Sorensen & Ammul Shergill

Getting Started with  and Cryptocurrency

Introduction to Blockchain

George Levy

Learn Enough HTML, CSS and Layout to be Dangerous

HTML, CSS & Layout

Lee Donahoe & Michael Hartl

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

Introduction to JavaScript

Michael Hartl

R Programming

Jared P. Lander

Digital Marketing Analytics Beyond Advertising

Digital Marketing

Mike Moran

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Jeffrey K. Pinto

AI in Marketing

Product & Marketing

Programming

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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

This statistics study guide covers contingency tables, marginal and conditional distributions, with examples and step-by-step calculations for better learning.

Statistics Study Guide: Contingency Tables & Distributions

Contingency Tables, Marginal Distributions, and Conditional Distributions in Statistics

Introduction to Contingency Tables

Contingency Tables, Marginal Distributions, and Conditional Distributions in Statistics

Study Guide - Learn with Videos

Introduction to Contingency Tables