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1.0: Introduction

  • Page ID
    23380
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    Learning Objectives

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

    • Recognize and differentiate between key terms.
    • Apply various types of sampling methods to data collection.
    • Create and interpret frequency tables.

    You are probably asking yourself the question, "When and where will I use statistics?" If you read any newspaper, watch television, or use the Internet, you will see statistical information. There are statistics about crime, sports, education, politics, and real estate. Typically, when you read a newspaper article or watch a television news program, you are given sample information. With this information, you may make a decision about the correctness of a statement, claim, or "fact." Statistical methods can help you make the "best educated guess."

    CNX_Stats_C01_COs.jpg
    Figure \(\PageIndex{1}\): We encounter statistics in our daily lives more often than we probably realize and from many different sources, like the news. (credit: David Sim)

    Since you will undoubtedly be given statistical information at some point in your life, you need to know some techniques for analyzing the information thoughtfully. Think about buying a house or managing a budget. Think about your chosen profession. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics.

    Included in this chapter are the basic ideas and words of probability and statistics. You will soon understand that statistics and probability work together. You will also learn how data are gathered and what "good" data can be distinguished from "bad."


    This page titled 1.0: Introduction is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by OpenStax via source content that was edited to the style and standards of the LibreTexts platform.