Discrete Random Variables – Expected Value, Variance & SD from Tables
SAT Score Range
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2 sessions
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About
In this fast‑paced workshop, we will cover➜
Part 1: build probability tables from raw and grouped data, then compute Σx, Σx² or coded totals Σ(x–a), Σ(x–a)² to find E(X), Var(X) and SD. Part 2: Compare two data sets and discuss interpretation. Finish with advanced scenario‑based questions. All formulas supplied; proofs not required.
Format → concept walk‑through ➜ live worked examples ➜ learner practice from recent CAIE past papers ➜ solution discussion & Q / A.
Bring a pen, paper, and a calculator; a basic understanding of the material is assumed.
Tutored by
A recent graduate of CAIE A-levels with Mathematics, Physics, and Computer Science. Currently, pursuing my B.Sc. in Computer Science & Engineering. Passionate about math and education, I am eager to help others excel in subjects including math, physics, computer science, and SAT Prep. Excited to tutor in various math areas such as Algebra, Geometry, Pre-Calculus, Calculus, and Statistics. Let's learn and grow together!
✋ ATTENDANCE POLICY
This is an intensive series. Please join on time and stay for the full duration. Active participation (chat or mic) is required.
SESSION 1
26
Aug
SESSION 1
Random variables and probability distributions
Random variables and probability distributions
Tue 3:30 AM - 4:20 AM UTCAug 26, 3:30 AM - 4:20 AM UTC
I will introduce the topic (as explained in the series details) with a mini-lecture and will practice past paper questions.
SESSION 2
28
Aug
SESSION 2
Random variables and probability distributions
Random variables and probability distributions
Thu 3:30 AM - 4:20 AM UTCAug 28, 3:30 AM - 4:20 AM UTC
We will practice on the topic that I have introduced in the previous session. We will do so by solving more similar and advanced problems