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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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Nutrition

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Sociology

Hannah

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Beginning Algebra

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Intermediate Algebra

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Beginning & Intermediate Algebra

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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

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

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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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AI-Enabled Programming, Networking, and Cybersecurity: Introduction

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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

https://static.studychannel.pearsonprd.tech/courses/statistics/thumbnails/desktop

Colleen Daly

Callie Rethman

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

Comprehensive statistics study guide covering frequency distributions, probability, measures of center, variation, and practice exam questions.

Statistics Study Guide: Practice Exam & Key Concepts

Comprehensive Guidance for Elementary Statistics Practice Exam (MAT 170, Triton College)

Comprehensive Guidance for Elementary Statistics Practice Exam (MAT 170, Triton College)

Study Guide - Learn with Videos

Frequency Distributions

Mean

Median

Mode

Interpreting Standard Deviation

Basic Concepts of Probability

Complements

Addition Rule

Multiplication Rule: Independent Events

Multiplication Rule: Dependent Events

Binomial Distribution

Standard Deviation