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Bruce

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Johnny

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Kylia

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Dive deep into General, Organic, and Biological Chemistry with videos, practice problems, and more.

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Study topics incliding trogonometric functions, identities and equations, solutions of triangles, complex numbers, and other topics as time permits

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Callie

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Nick

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Nutrition

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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

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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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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

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

The mean daily rainfall in a rainforest region is normally distributed with a mean of 18.2 mm18.2~\text{mm} and a standard deviation of 6.3 mm6.3~\text{mm}. If a sample of 1010 days is randomly chosen, what is the probability that the sample mean rainfall is greater than 22.8 mm22.8~\text{mm}?

The mean daily rainfall in a rainforest region is normally distributed with a mean of $18.2 mm$ and a standard deviation of $6.3 mm$ . If a sample of $10$ days is randomly chosen, what is the probability that the sample mean rainfall is greater than $22.8 mm$ ?