🔴 AP Statistics: Summer Bootcamp - Now Enrolling!
Course Expectations & Learning Approach
This summer bootcamp is designed primarily for students planning to take AP Statistics in the fall and looking to gain a strong head start before the school year begins. The course will move at an accelerated pace, introducing key concepts early so students can enter the class with greater confidence and familiarity.
The curriculum will focus on the major themes of AP Statistics, including exploring and analyzing data, study design and data collection, probability, random variables, sampling distributions, confidence intervals, and hypothesis testing. Students will develop both conceptual understanding and practical statistical reasoning skills while learning how statistics is used to make informed decisions based on data.
We will focus on:
Conceptual understanding of core statistical principles
Interpreting and analyzing data using graphical and numerical methods
Building strong problem-solving and statistical reasoning skills
Understanding study design, probability, and statistical inference
Exposure to AP-style multiple-choice and free-response questions
Developing confidence and readiness for the school year ahead
Schedule:
July 13 – August 7 (Mon, Wed, Fri Classes)
12 classes, 2 hour sessions.
Session timing will be finalized based on participant preference
📍 Online-only
Fees: $400 (Donated at Ekal coaching-for-a-cause non-profit initiative)
Limited seats to ensure personalized attention.
This course is taught by Professor Devika Lalsinghani, a statistics professor with extensive college-level teaching experience. In addition to teaching undergraduate and graduate statistics courses, she serves as a Reader for the AP Statistics Exam, bringing firsthand knowledge of AP expectations, scoring standards, common student misconceptions, and effective exam strategies. Sessions focus on building conceptual understanding, developing statistical reasoning skills, and helping students establish a strong foundation for success in AP Statistics.