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Mariya Breyther

Introduction to Microsoft Power BI

Microsoft Power BI

Chris Sorensen

Data Analysis Fundamentals with Excel

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Chris Sorensen & Ammul Shergill

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George Levy

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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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Mike Moran

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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 CLT, confidence intervals, chi-square, regression, ANOVA, and exam preparation for MATH2209.

MATH2209 Statistics Course Schedule and Key Topics (Winter 2026)

Study Guide - Learn with Videos

Sampling Distribution of the Sample Mean and Central Limit Theorem

Introduction to Confidence Intervals

Performing Hypothesis Tests: Means

Two Means - Matched Pairs (Dependent Samples)

Goodness of Fit Test

Contingency Tables

Independence Tests

Homogeneity Tests

Linear Regression & Least Squares Method

One-Way ANOVA - Excel

Two-Way ANOVA - Excel

Multiple Regression - Excel