Stats 3.1Concept6 parts

Probability Basics

Reason about chance with outcomes, events and the rules that combine them.

In this lesson6 parts

  1. 01Name the recorded outcomes
  2. 02An event and its complement
  3. 03Overlap and addition
  4. 04Make the review decision
  5. 05What repeated draws can, and cannot, show
  6. 06Reproduce the counts and try another rule

Key terms

The words this lesson introduces, each in one line. The module’s glossary collects them all.

outcome
One possible result of the selection; here, one recorded transaction.
sample space
The outcomes under consideration; here, all 284,807 recorded transactions.
event
A specified set of outcomes, such as F, the 492 rows with Class = 1.
empirical probability
Event count divided by the recorded total: 492 / 284,807 = 0.173%.
event A
The rows satisfying a declared condition; here Amount > 100, 56,508 rows.
complement
Every outcome in the sample space outside an event.
intersection, or joint event
Outcomes satisfying both events: 130 rows above 100 and labelled fraud.
joint probability
Fraction of the sample space satisfying both events.
union
Outcomes satisfying at least one of the events: 56,870 rows.
with replacement
Each source label remains available for every draw.
law of large numbers
With repeated independent draws from the same distribution, a running fraction tends toward that distribution's probability.

Quiz 5 questions

Your first pick on each question is the one that counts, and a right one earns a coin. Getting one wrong here is how the lesson sticks.

Practice

Problems to solve in your own notebook. Each states the problem, not the steps: working out the steps is the exercise. Level A applies the lesson, B combines it with earlier ones, C stretches it.

The self-checking notebook for this lesson is Probability basics.

Common mistakes

What you will see when it goes wrong, why it happens, and the fix.

Where it’s used

Where this lesson’s ideas turn up in real work.