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Jason

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Brian

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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 Algebra

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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

Learn Enough HTML, CSS and Layout to be Dangerous

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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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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

Brendan

Intro to Stats

Intro to Collecting Data

Sampling Methods

Visualizing Qualitative vs. Quantitative Data

Frequency Distributions

Histograms

Bar Graphs and Pareto Charts

Pie Charts

Frequency Polygons

Dot Plots

Stemplots (Stem-and-Leaf Plots)

Time-Series Graph

Mean

Median

Mode

Standard Deviation

Interpreting Standard Deviation

Percentiles & Quartiles

Describing Data Numerically Using a Graphing Calculator

Boxplots

Statistics Midterm - Part 1 of 2

What is the first step in constructing a stemplot from a dataset?