Statistics
Discrete vs Continuous Variables
Lesson
Random variables come in two flavors. Knowing which one you’ve got determines which probability tools you can use.
Discrete
Values are countable — you can list them, even if the list is infinite. Usually whole numbers from counting.
Examples: number of customers, dice rolls, defects per batch, phone calls per hour.
Continuous
Values fall on a continuous range — any real number in an interval, including all the fractions between. Usually comes from measuring (length, time, weight, temperature).
Examples: height, weight, time, temperature, voltage.
Quick test
- “Number of ___” → almost always discrete.
- Something measured with a tool (ruler, scale, clock) → almost always continuous.
- If you can have 4.7 of it, it’s continuous. If only whole counts make sense, it’s discrete.
How to type your answer
Type 1 for and 2 for .
Practice
Work through these. Stuck? Click Get a hint.
Warm-Up
Quick problems to get going.
Problem 1
Problem 2
Problem 3
Problem 4
Practice
Standard problems matching the lesson.
Problem 5
Problem 6
Problem 7
Problem 8
Problem 9
Problem 10
Problem 11
Problem 12
Problem 13
Problem 14
Problem 15
Problem 16
Problem 17
Problem 18
Challenge
Harder problems — edge cases, trickier numbers, multiple steps.
Problem 19
Problem 20
Problem 21
Problem 22
Problem 23
Problem 24
Problem 25
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Quiz
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