$138

weekly

or $275 for 10 classes

Summer Camp: AP Statistics Prep

Completed by 3 learners

Ages 14-18

Live Group Course

This course covers a Comprehensive Review on AP Statistics with 9 Practice Tests + Online Practice using Barron's Test Prep

AI Code Academy

Average rating:

4.7

Number of reviews:

(1,781 reviews)

Popular

Live video meetings

5x per week, 2 weeks

3-8 learners per class

60 min

About Learning Overview Teacher Reviews

What's included

10 live meetings

10 in-class hours

Projects

2-4 hours per week. Projects are not mandatory but we strongly encourage students to complete them.

Assessment

included

Class Experience

US Grade 9 - 12

~Enroll now and get our Early Bird $25 discount. Use coupon CODEAISUMMER25 for $25 off ( Valid until 3/11/25)~

This Advanced course is meticulously crafted to align with all nine units and exam formats outlined in the latest AP Statistics course and exam description. Dive deep into each concept through engaging lessons paired with practice quizzes, ensuring full comprehension. The fifth lesson marks the beginning of exam preparation, where students will take their first AP practice test. As the course culminates in the tenth and final lesson, students will embark on a comprehensive review, culminating in another full practice test. Get ready to ace the exam with confidence!

For a week to week program, check out the syllabus.

Learning Goals

This AP Statistics course covers all nine units and exam formats, offering engaging lessons and quizzes for thorough understanding.

Beginning with a practice test in the fifth lesson and concluding with a comprehensive review and another full test in the tenth, students are prepared to excel in the exam confidently.

Syllabus

10 Lessons

over 2 Weeks

Lesson 1:

One-Variable Data

 a.	Categorical Variables
b.	Quantitative Variables and their Distributions
c.	Summary Statistics
d.	Comparing Quantitative Variable Distributions
e.	Normal Distributions
f.	Practice Problems

60 mins online live lesson

Lesson 2:

Exploring Two-Variable Data

 a.	Two Categorical Variables
b.	Two Quantitative Variables
c.	Correlation, Least Squares Regression, and Residuals
d.	Outliers, Influential Points, and Leverage
e.	Transformations to Achieve Linearity
f.	Practice Problems

60 mins online live lesson

Lesson 3:

Collecting Data

 a.	Retrospective and Prospective Observational Studies
b.	Bias
c.	Sampling Methods and Variability
d.	Experiments vs Observational Studies
e.	Replication, Inference, and Experiments
f.	Practice Problems

60 mins online live lesson

Lesson 4:

Probability, Random Variables, and Probability Distributions

 a.	The Law of Large Numbers
b.	Probability Rules and Calculations
c.	Random Variables, Means, and Standard Deviations
d.	Sums and Differences of Sets and Random Variables
e.	Transformations of Random Variables
f.	Binomial, Geometric, and Cumulative Probability Distributions
g.	Practice Problems

60 mins online live lesson

Other Details

Language of Instruction

English

External Resources

Learners will not need to use any apps or websites beyond the standard Outschool tools.

Offered by

AI Code Academy

Joined April, 2020

4.7

1781reviews

Popular

Profile

Teacher expertise and credentials

~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
~Get to know our coaches here: https://tinyurl.com/5j5crx59 ~

At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.

Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.

With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.

Get to know our coaches here: https://tinyurl.com/5j5crx59