Math Core

Lesson 10.3 · Data and Probability

Simple probability

Will it rain tomorrow? Will your free throw go in? Probability is a number that measures how likely something is to happen. In this lesson you'll find probabilities by counting outcomes, compare them with what actually happens in an experiment, and use equations to answer "how many?" questions.

Outcomes and events

When you roll a number cube, the possible results are 1,2,3,4,51, 2, 3, 4, 5 and 66. Each result is an outcome, and the list of all of them is the sample space. An event is any group of outcomes you care about, such as "rolling an even number," which is the outcomes 22, 44 and 66.

Definition

Probability of an event

If all outcomes are equally likely, the probability of an event AA is

P(A)=number of outcomes in Atotal number of outcomes.P(A) = \frac{\text{number of outcomes in } A}{\text{total number of outcomes}}.

The outcomes in AA are often called the favorable outcomes.

Worked example: Rolling a number cube

You roll a fair number cube. What is the probability of rolling a number greater than 44?

The sample space is 1,2,3,4,5,61, 2, 3, 4, 5, 6: 66 outcomes. The numbers greater than 44 are 55 and 66: 22 outcomes.

P(greater than 4)=26=13.P(\text{greater than } 4) = \frac{2}{6} = \frac{1}{3}.

The probability scale

A probability is always between 00 and 11, and you can write it as a fraction, a decimal or a percent.

  • P=0P = 0: the event is impossible (rolling a 77 on a number cube).
  • P=12P = \dfrac{1}{2}: the event is equally likely to happen or not (a coin landing heads).
  • P=1P = 1: the event is certain (rolling a number less than 77).
01/41/23/41
Impossible at 0, certain at 1

The closer a probability is to 11, the more likely the event.

The complement

Every outcome either is in event AA or isn't. The event "not AA" is called the complement of AA. Since the two together cover every outcome, their probabilities add to 11.

Complement rule

P(not A)=1−P(A)P(\text{not } A) = 1 - P(A)

Worked example: Marbles in a bag

A bag holds 55 red, 33 blue and 22 green marbles. You pick one without looking.

  1. What is P(blue)P(\text{blue})?
  2. What is P(not blue)P(\text{not blue})?

Solutions. There are 5+3+2=105 + 3 + 2 = 10 marbles.

  1. P(blue)=310P(\text{blue}) = \dfrac{3}{10}.
  2. P(not blue)=1−310=710P(\text{not blue}) = 1 - \dfrac{3}{10} = \dfrac{7}{10}. You can check by counting: the 55 red and 22 green marbles make 77 of the 1010.

Experimental probability

So far you've found theoretical probability, which comes from counting equally likely outcomes. Experimental probability comes from actually doing the experiment:

P(event)≈number of times the event happenednumber of trials.P(\text{event}) \approx \frac{\text{number of times the event happened}}{\text{number of trials}}.

The two often don't match exactly, but they usually get closer as the number of trials grows. Either kind can be used to make a prediction: multiply the probability by the number of trials.

Worked example: Spinning a spinner

A spinner has 44 equal sections: red, blue, green and yellow. Lena spins it 5050 times and it lands on blue 1818 times.

  1. What is the experimental probability of blue? What is the theoretical probability?
  2. Using the theoretical probability, how many times would you expect blue in 200200 spins?

Solutions.

  1. Experimental: 1850=925=0.36\dfrac{18}{50} = \dfrac{9}{25} = 0.36. Theoretical: 11 blue section out of 44, so 14=0.25\dfrac{1}{4} = 0.25.
  2. 14×200=50\dfrac{1}{4} \times 200 = 50 times.

Getting 1818 blues instead of about 12.512.5 in 5050 spins can happen just by chance. Results from a small number of trials vary a lot.

Common mistake

A probability is a long-run expectation, not a promise. A probability of 14\dfrac{1}{4} does not mean that exactly one of every four spins lands on blue. It means that over many spins, about one-fourth of them will.

Using an equation

When the number of outcomes is unknown, write an equation.

Worked example: How many marbles?

A bag has 44 red marbles and some blue marbles. The probability of picking red is 13\dfrac{1}{3}. How many blue marbles are in the bag?

Let tt be the total number of marbles. Then 4t=13\dfrac{4}{t} = \dfrac{1}{3}. Cross-multiply: t=12t = 12. There are 1212 marbles in all, so 12−4=812 - 4 = 8 are blue.

Check: 412=13\dfrac{4}{12} = \dfrac{1}{3}. ✓

Tip

After finding a probability, ask if it makes sense. If more than half the marbles are red, P(red)P(\text{red}) should be greater than 12\dfrac{1}{2}.

Practice

Practice 1

You roll a fair number cube. What is the probability of rolling a 33?

Enter a number. Fractions like 3/4 and sqrt(2) are OK.

Practice 2

A number from 11 to 2020 is chosen at random. What is the probability that it is a multiple of 33?

Enter a number. Fractions like 3/4 and sqrt(2) are OK.

Practice 3

Each letter of the word PREALGEBRA is written on a card, and one card is drawn at random. What is the probability that the letter is a vowel?

Enter a number. Fractions like 3/4 and sqrt(2) are OK.

Practice 4

The probability of rain tomorrow is 0.350.35. What is the probability that it does not rain?

Enter a number. Fractions like 3/4 and sqrt(2) are OK.

Practice 5

Which number cannot be the probability of an event?

Practice 6

A factory tests 120120 light bulbs and finds that 33 are defective. Based on this, how many defective bulbs would you predict in a shipment of 2,0002{,}000?

Enter a number. Fractions like 3/4 and sqrt(2) are OK.

Practice 7

A bag contains 66 green marbles and some other marbles. The probability of drawing a green marble is 25\dfrac{2}{5}. How many marbles are in the bag in all?

Enter a number. Fractions like 3/4 and sqrt(2) are OK.

Practice 8

A bag has 33 red and 55 blue marbles. How many red marbles must be added so that the probability of drawing red becomes 23\dfrac{2}{3}?

Enter a number. Fractions like 3/4 and sqrt(2) are OK.