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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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Medical Terminology

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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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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

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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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How LLMs Understand & Generate Human Language

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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 probability, distributions, mean, standard deviation, binomial formulas, and data analysis essentials.

Step-by-Step Guidance for College Statistics Practice Questions

Study Guide - Learn with Videos

Histograms

Mean

Stemplots (Stem-and-Leaf Plots)

Standard Deviation

Basic Concepts of Probability

Multiplication Rule: Dependent Events

Discrete Random Variables

Binomial Distribution

Standard Normal Distribution