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Statistics · Probability Topics

Introduction

CC BY 4.0 · OpenStax · approximately 3 min read

Learning objectives

View original figure (external; image not reproduced in this text edition)

Original figure description: This is a photo taken of the night sky. A meteor and its tail are shown entering the earth's atmosphere.

Meteor showers are rare, but the probability of them occurring can be calculated. (credit: Navicore/flickr)

Chapter Objectives

By the end of this chapter, the student should be able to do the following:

  • Understand and use the terminology of probability
  • Determine whether two events are mutually exclusive and whether two events are independent
  • Calculate probabilities using the addition rules and multiplication rules
  • Construct and interpret contingency tables
  • Construct and interpret Venn diagrams
  • Construct and interpret tree diagrams

It is often necessary to guess about the outcome of an event in order to make a decision. Politicians study polls to guess their likelihood of winning an election. Teachers choose a particular course of study based on what they think students can comprehend. Doctors choose the treatments needed for various diseases based on their assessment of likely results. You may have visited a casino where people play games chosen because of the belief that the likelihood of winning is good. You may have chosen your course of study based on the probable availability of jobs.

You have, more than likely, used probability. In fact, you probably have an intuitive sense of probability. Probability deals with the chance of an event occurring. Whenever you weigh the odds of whether or not to do your homework or to study for an exam, you are using probability. In this chapter, you will learn how to solve probability problems using a systematic approach.

How likely is it that a randomly chosen person in your class has change in his or her pocket? Would you say that it is very likely? Somewhat likely? Not likely?

How likely is it that a randomly chosen person in your class has ridden a bus in the past month?

If a person is chosen at random from your classroom and you know that he or she has ridden a bus in the past month, do you think that person is more likely or less likely to have change?

Probability theory allows us to measure how likely—or unlikely—a given result is.

Your instructor will survey your class. Count the number of students in the class today.

  • Raise your hand if you have any change in your pocket or purse. Record the number of raised hands.
  • Raise your hand if you rode a bus within the past month. Record the number of raised hands.
  • Raise your hand if you answered yes to BOTH of the first two questions. Record the number of raised hands.

Use the class data as estimates of the following probabilities. P(change) means the probability that a randomly chosen person in your class has change in his/her pocket or purse. P(bus) means the probability that a randomly chosen person in your class rode a bus within the last month and so on. Discuss your answers.

  • Find P(change).
  • Find P(bus).
  • Find P(change AND bus). Find the probability that a randomly chosen student in your class has change in his/her pocket or purse and rode a bus within the last month.
  • Find P(change|bus). Find the probability that a randomly chosen student has change given that he or she rode a bus within the last month. Count all the students who rode a bus. From the group of students who rode a bus, count those who have change. The probability is equal to those who have change and rode a bus divided by those who rode a bus.
← Descriptive StatisticsTerminology →

Attribution. Statistics, OpenStax, Rice University, and the contributing authors credited in the book. Licensed under Creative Commons Attribution 4.0 International. Source revision 7dea80ae28 of openstax/osbooks-statistics (2026-04-23). CC BY 4.0. Original source ↗. Text edition of a pinned CC BY 4.0 source revision of the OpenStax book, converted from CNXML by the EvidenceHelix importer. Original prose, learning objectives, tables, exercises, glossary and captions are preserved; images are not copied (figures link to the original source and keep their credits). No new content was added. Later revisions of this book can carry different licence terms and are not used.

In this chapter Contents

  • Introduction
  • Terminology
  • Independent and Mutually Exclusive Events
  • Two Basic Rules of Probability
  • Contingency Tables
  • Tree and Venn Diagrams
  • Probability Topics

Source

OpenStax source file ↗

Illustrated original ↗

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