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What you will learn

 

Learn to choose which methods for collecting or analyzing data

 

Learn to describe patterns, trends, associations, and relationships in data

 

Learn to use probability and simulation to describe probability distributions and define uncertainty in statistical inference

 

Learn to use statistical reasoning to draw conclusions

Description

Hello everyone!

My name is Sunny and I’ve been a Statistics tutor for the past 4 years. You may know me from the maker of The Online AP Chemistry Course. As a 5-scorer on the AP Statistics Exam myself, I’ve invested hundreds of hours in tutoring dozens of students in their AP coursework. In 2019 I started RhomiTutoring, which provides online 1-on-1 tutoring to students around the world. AP Statistics can be a particularly difficult subject for students who are unfamiliar with statistical topics. While it is a “mathematical” subject, you will quickly find that statistics is as much about inference and probability as it is about finding the objective “right answer”. At present, there are many educational videos you can find on AP Statistics but few are structured in such a way that follows a detailed curriculum, and the vast majority don’t provide practice problems to students. Or worse, the practice problems are simply not of the difficulty that would be needed to achieve a 5.

 

That’s why this course was designed to have an emphasis on problem sets. It contains 6 broad topics, with each topic containing quizzes, lectures and 40+ exercises, along with hours of lectures and several problem sets.

1. Data Analysis

2. Normal Curves and Z-scores

3. Scatterplots, Correlation, and Relationships

4. Probability


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5. Sampling and Confidence Intervals

6. Acids and Bases

 

 

 

The Online AP Statistics Course is not associated or endorsed by Collegeboard in any way.

 

English
language

Content

Introduction

Introduction

Data Analysis

Variables and Distributions
Categorical Data
Quantitative Data

Normal Curves and Z scores

Normal Curves and Z-scores

Scatterplots, Correlation, and Relationships

Scatter Plots and Correlation
Regression Lines

Probability

Randomness and Principles of Probability
Probability Rules
Conditional Probability
Random Variables

Sampling and Confidence Intervals

Sampling Distribution
Confidence Interval