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S1 Probability Masterclass – Conditional & Independent Events

SAT Score Range

2 sessions

This series ended on July 11, 2025. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

This mini-series (3 hours total) dives straight into the conditional, mutually exclusive, and independent-event portions of CAIE S1 A-level Mathematics.

📘 Session 1: Introduction to Conditional Probability

Duration: 1 hour
• Objective: To introduce the foundational concept of Conditional Probability.
• Structure:
1. Mini Lecture:
I will begin with a concise and focused explanation of conditional probability—its meaning, how it works, and its relevance in problem-solving.
2. Guided Problem Solving:
After the lecture, I will solve selected problems from actual past papers, demonstrating how to apply the concept to real exam-style questions.
3. Student Practice (if time permits):
If we have time remaining, I will encourage students to try out a few similar problems on their own. Afterwards, I will share the correct solutions so you can cross-check and understand your mistakes (if any).


📗 Session 2: Practice + New Topics

Duration: 2 hours

Part 1: Practice from Session 1
• Duration: 1st Hour
• We will reinforce our understanding of conditional probability by solving more past paper questions. I will randomly select problems, and you will solve them, either individually or with guidance.
• Each solution will be discussed and reviewed, allowing you to correct misconceptions in real-time.

Part 2: New Concepts – Mutually Exclusive & Independent Events
• Duration: 2nd Hour
• I will explain the difference between mutually exclusive events and independent events, including when and how to identify them in problems.
• This will be followed by solving selected past paper problems that test understanding of these concepts.


This structure is designed to ensure a clear flow: starting from concept introduction → guided examples → student practice → new topic → applied practice again.

This class is ideal for anyone comfortable with basic probability.
👉 Prerequisite: complete the “Probability” units at Khan Academy (link below) so we can move fast.

https://www.khanacademy.org/math/precalculus/x9e81a4f98389efdf:prob-comb



You may also benefit from the following link to a document:-


Bring a calculator, paper and a pen. Expect constant problem-solving and Q&A; the sessions are fast-paced “sprints”, not leisurely workshops.


🔔 Side Note for Participants:-

This series is particularly ideal for any Cambridge International A-Level Mathematics student—especially those taking Statistics—since the topics and practice questions are drawn directly from that curriculum.

However, this does not mean the session is limited only to CIE students. Anyone who is interested in learning about Conditional Probability, Mutually Exclusive Events, and Independent Events—regardless of curriculum or academic background—is welcome to join and benefit.

That said, I would like to strongly emphasise a few expectations for all participants:
• Stay engaged and interactive throughout the session, no matter who you are or what your academic track is.
• The sessions will be dense, fast-paced, and target-oriented. We are aiming to cover a large volume of conceptual explanations and past paper practice in a short span of time.
• Think of it as a “super sprint”, not a marathon—we’re not stretching it out, but rather moving fast and with full force.
• Because of time constraints, I will not be able to monitor each individual participant or constantly check who is following and who is not. That responsibility lies with you.
• Therefore, please take initiative:
• Ask questions when in doubt.
• Let me know immediately if you’re stuck or confused.
• Don’t wait for me to call on you—your proactivity is crucial to making the most out of this class.

I hope you understand, and I look forward to your active participation and sincere learning, in shā Allāh.



Tutored by

Tasheen U 🇧🇩

Certified in 9 topics

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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!

Schedule

✋ ATTENDANCE POLICY

📌 Please understand that this is a mini-series consisting of only two sessions, scheduled back-to-back—one on Thursday and the next on Friday, within less than 24 hours of each other.

Because of the highly connected nature of these sessions, I kindly and strongly advise the following:

• ⚠️ If you cannot attend both sessions in full, please reconsider joining.

I cannot restrict or mandate attendance, nor prevent anyone from registering—but I can humbly request that you only register if you’re committed to attending both sessions from start to end.

• ❗The second session is deeply dependent on the first. If you miss Thursday’s class, you will most likely not be able to understand the content in Friday’s session, as the foundation and context will already be covered and built upon.

⸻ 📚 Prerequisite Knowledge: Basic Probability Also, I must clearly state: If you do not already have a basic understanding of probability, then I do not recommend joining this mini-series. Not because I want to exclude anyone—in fact, I welcome everyone—but because I’m genuinely concerned that if your foundational knowledge is weak, you won’t be able to benefit from the topics we’ll explore. The concepts of conditional probability, mutually exclusive events, and independent events are more advanced and rely heavily on solid basics. ⸻ ✅ What to Do If You’re Not Yet Ready If your basic concepts in probability aren’t strong, I highly recommend that you first complete the following Khan Academy lessons & the document that I have shared. (I have shared the links in the description.) Once you complete the above and feel confident, you are most welcome to join future sessions or reach out for guidance.

SESSION 1

10

Jul

SESSION 1

Probability

Probability

Thu 11:45 AM - 12:45 PM UTCJul 10, 11:45 AM - 12:45 PM UTC

Mini-lecture on conditional probability

Live walkthrough of past-paper questions

If time permits: learners attempt a short problem-set and compare solutions.

Note: Please join as soon as the Zoom meeting opens (15 minutes before the scheduled time).
SESSION 2

11

Jul

SESSION 2

Probability

Probability

Fri 4:15 AM - 6:15 AM UTCJul 11, 4:15 AM - 6:15 AM UTC

First hour = rapid-fire practice on conditional questions from Session 1

Second hour = theory + examples of mutually-exclusive vs independent events, including the test P(A ∩ B) vs P(A)P(B) and further past-paper practice.

Note: Please join as soon as the Zoom meeting opens (15 minutes before the scheduled time).

Public Discussion

Please log in to see discussion on this series.

Jul 10

1 week

60 - 120 mins

/ session

SCHEDULE

Thursday, Jul 10

11:45AM

Friday, Jul 11

4:15AM