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Arianne Dee

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Mariya Breyther

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Chris Sorensen

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Chris Sorensen & Ammul Shergill

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George Levy

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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

Ernest

Basic Concepts of Probability

Complements

Addition Rule

Multiplication Rule: Independent Events

Introduction to Contingency Tables

Multiplication Rule: Dependent Events

Bayes' Theorem

Fundamental Counting Principle

Counting

Discrete Random Variables

Binomial Distribution

Poisson Distribution

Hypergeometric Distribution

Standard Normal Distribution

Probabilities & Z-Scores w/ Graphing Calculator

Sampling Distribution of the Sample Mean and Central Limit Theorem

Introduction to Confidence Intervals

Confidence Intervals for Population Mean

Statistics Midterm - Part 2 of 2

A random variable WW is normally distributed with a mean of 120120 and a standard deviation of 2020. Find P(W>100)P\left(W>100\right).

A random variable $W$ is normally distributed with a mean of $120$ and a standard deviation of $20$ . Find $P of open paren W is greater than 100 close paren$ .