Probability

Definitionnoun

What is probability in math?

Probability measures how likely an event is, from 0 for impossible to 1 for certain. For equally likely outcomes it is the number of favorable outcomes divided by the total number of outcomes: for a fair coin, the probability of heads is 12. Probabilities can be written as fractions, decimals or percents.

In Spanish
probabilidad
Also called
chance, likelihood
Grade level
6-8
Grade 6Grade 7Grade 8CCSS 7.SP.C.5CCSS 7.SP.C.7.aGEDSATACT

Probability in a picture

Probability from 0 to 1A probability scale from 0 (impossible) through 1/2 (even chance) to 1 (certain). A bag holds 3 red marbles and 1 blue marble, so P(red) = 3/4 is marked as likely and P(blue) = 1/4 as unlikely.The probability scale0impossible1/4unlikely1/2even chance3/4likely1certainP(blue) = 1/4P(red) = 3/4RRRB3 red, 1 blueP(red) = favorable ÷ total= 3 ÷ 4 = 0.75P(blue) = 1 ÷ 4 = 0.253/4 + 1/4 = 1
Every probability sits between 0 (impossible) and 1 (certain). With 3 red marbles out of 4, red is likely, 34; the probabilities of all outcomes add to 1.

Formal definition and notation

For an experiment whose outcomes are all equally likely, the probability of an event A is P(A) = outcomes in Atotal outcomes. Every probability satisfies 0 ≤ P(A) ≤ 1, and the probabilities of all the outcomes in the sample space add to 1. The probability that A does not happen is 1 − P(A). When outcomes are not equally likely, probabilities come from a model, or are estimated from the relative frequency of the event in many trials (experimental probability).

Symbol Read it as Meaning
P(A) P of A the probability of event A, such as P(heads) = 12
P(not A) P of not A the probability that A does not happen: 1 − P(A)
0 ≤ P ≤ 1 P is between 0 and 1 the range of every probability (0% to 100%)

Key facts

  • Near 0 means unlikely, about 12 means neither likely nor unlikely, and near 1 means likely.
  • Complement rule: P(not A) = 1 − P(A). The chance of not rolling a 6 is 1 − 16 = 56.
  • The same probability can be written three ways: 14 = 0.25 = 25%.
  • Experimental probability is (times the event happened) ÷ (number of trials). With many trials it usually gets close to the theoretical probability.
  • For independent events, multiply: two fair coins both land heads with probability 12 × 12 = 14.

Theoretical probability

Theoretical probability
P(A) = favorable outcomestotal outcomes
favorable outcomes
the outcomes where event A happens
total outcomes
every possible outcome (the sample space), all equally likely

This works only when every outcome is equally likely. Rolling a 3 on a fair number cube: 1 favorable outcome out of 6, so P = 16.

Try it: spin and compare

Interactive

Spin once, 10, 100 or 1,000 times. The bars show how often each color came up; the dashed lines show the theoretical probabilities, 1/2, 1/3 and 1/6.

This interactive needs JavaScript. The worked examples below show the same ideas step by step.

Probability examples, step by step

Example 1: One fair number cube

Warm-up

A fair number cube is rolled. What is the probability of rolling a number greater than 4?

  1. Total outcomes: 1, 2, 3, 4, 5, 6, which is 6 equally likely outcomes.
  2. Favorable outcomes: 5 and 6, which is 2 outcomes.
  3. P = 26 = 13.

Answer: The probability is 1/3, or about 0.33.

Example 2: Use the complement

Core

A bag has 5 red, 3 green and 2 yellow tiles. One tile is picked at random. What is the probability that it is not green?

  1. Total tiles: 5 + 3 + 2 = 10.
  2. P(green) = 310.
  3. P(not green) = 1 − 310 = 710.
  4. Check by counting: 5 red + 2 yellow = 7 tiles that are not green.

Answer: The probability of not green is 7/10, or 70%.

Example 3: Two number cubes

Test-style

Two fair number cubes are rolled. What is the probability that the sum is 7?

  1. Each cube has 6 outcomes, so there are 6 × 6 = 36 equally likely pairs.
  2. Pairs with sum 7: (1, 6), (2, 5), (3, 4), (4, 3), (5, 2), (6, 1). That is 6 pairs.
  3. P = 636 = 16.
  4. Trap: there are 11 possible sums (2 to 12), but they are not equally likely, so the answer is not 111.

Answer: The probability of a sum of 7 is 1/6.

Common mistakes

✗ MistakeA bag has 2 red and 3 blue marbles, so P(red) = 23.
✓ InsteadP(red) = 22 + 3 = 25.

Divide by the total number of outcomes, not by the number of other outcomes. 23 is the ratio of red to blue.

✗ MistakeRain is very likely tomorrow, so its probability is 1.5.
✓ InsteadA very likely event has a probability close to 1, such as 0.9 (90%).

A probability cannot be less than 0 or greater than 1.

✗ MistakeA fair coin landed heads 5 times in a row, so tails is now more likely.
✓ InsteadThe coin has no memory: the next flip is still 12 heads and 12 tails.

Independent trials do not affect each other. Past results do not change the next probability.

✗ MistakeA spinner is half red, a quarter blue and a quarter green, so P(red) = 13 because there are 3 colors.
✓ InsteadP(red) = 12: red covers half the spinner.

Favorable over total works only for equally likely outcomes. Three colors are not equally likely when the sections differ in size.

Not to be confused with

Probabilityvs.Odds

Odds compare favorable to unfavorable outcomes; probability compares favorable to all outcomes. With 2 red and 3 blue marbles, the odds of red are 2 to 3, but the probability is 25.

Probabilityvs.Experimental probability

Theoretical probability comes from reasoning (16 for a 3 on a die). Experimental probability comes from trials: 9 threes in 60 rolls gives 960 = 0.15.

Probabilityvs.Ratio

A probability is a special part-to-whole ratio that always lies between 0 and 1. A ratio can also compare part to part, like 2 : 3, and can be any size.

Quick check: 3 questions

Question 1 of 3

A spinner has 8 equal sections numbered 1 to 8. What is the probability of landing on a multiple of 3?

Show answer and explanation

Answer: A. The multiples of 3 from 1 to 8 are 3 and 6, so P = 28 = 14. Choice B also counts 9, which is not on the spinner; C counts only the 3; and D divides the favorable outcomes by the unfavorable ones.

Question 2 of 3

Which number cannot be a probability?

Show answer and explanation

Answer: C. 54 = 1.25, which is greater than 1, so it cannot be a probability. 0 is an impossible event, 0.99 is almost certain, and 45% = 0.45 is in range.

Question 3 of 3

The probability of rain tomorrow is 0.35. What is the probability that it does not rain?

Show answer and explanation

Answer: B. Use the complement: 1 − 0.35 = 0.65. Choice A repeats the chance of rain, C adds instead of subtracting (and is above 1), and D says no rain is impossible.

Probability: frequently asked questions

What is the difference between probability and odds?

Probability compares favorable outcomes with all outcomes; odds compare favorable outcomes with unfavorable ones. With 1 winning ticket out of 5, the probability of winning is 15, but the odds are 1 to 4. To turn odds of a to b into a probability, use aa + b.

Can a probability be written as a percent?

Yes. Multiply the fraction or decimal by 100: 34 = 0.75 = 75%. Weather forecasts do this when they say a 30% chance of rain, which is a probability of 0.3. Whatever the form, the value must stay between 0 (0%) and 1 (100%).

What is the difference between theoretical and experimental probability?

Theoretical probability is what should happen, worked out by counting equally likely outcomes: 12 for heads. Experimental probability is what did happen in trials: 27 heads in 50 flips is 2750 = 0.54. With more trials, the experimental value usually moves closer to the theoretical one.

Practice and tools

Sources

  1. Common Core State Standards, Grade 7 Statistics and Probability (7.SP.C.5, 7.SP.C.7.a)
  2. OpenStax, Introductory Statistics 2e, 3.1 Terminology
  3. Common Core State Standards, Mathematics Glossary (probability, uniform probability model)

Updated November 2026·Reviewed by the Effortless Math team·Standards: CCSS 7.SP.C.5, CCSS 7.SP.C.7.a

Cite this entry

Effortless Math Team. “Probability.” Effortless Math Dictionary. Updated November 2026. https://www.effortlessmath.com/math-dictionary/probability/

Flashcard

TermProbabilityP(A), from 0 to 1
DefinitionHow likely an event is: favorable outcomes ÷ total outcomes. Rolling a 3 on a die: 16.
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