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CK-12 Probability and Statistics - Basic (A Full Course)

Created by: CK-12

Table of Contents

  • 1. Independent and Dependent Event

    This chapter introduces students to probability in its most basic form: independent and dependent events. Also considered are mutually inclusive and exclusive events, sample spaces, and Venn Diagrams.

  • 2. The Next Step ... Conditional Probability

    This chapter introduces tree diagrams, permutations, and combinations. Also covered is the concept of conditional probability.

  • 3. Introduction to Discrete Random Variables

    This chapter deals with random variables and probability distributions while also offering some methods for using a calculator to find theoretical probability.

  • 4. Probability Distributions

    This chapter introduces students to more ways of analyzing and managing data, covering standard distributions and discrete distributions.

  • 5. Measures of Central Tendency

    This chapter explores the importance of measures of central tendency in probability, including the mean, median, and mode.

  • 6. The Shape, Center and Spread of a Normal Distribution

    This chapter goes into detail regarding normal distribution. Students learn to represent data on a bell curve, recognize a normal distribution curve, and calculate the standard deviation both manually and with a calculator.

  • 7. Organizing and Displaying Distributions of Data

    This chapter gives students a number of useful ways to represent data, including line graphs, bar graphs, stem-and-leaf plots, and box-and-whisker plots.

  • 8. Organizing and Displaying Data for Comparison

    This chapter further refines and develops a student’s ability to manage and present data through a wide variety of graphs and tables, such as double bar and line graphs, two-sided stem-and-leaf plots, and double box-and-whisker plots among others.



Date Created:

Feb 23, 2012

Last Modified:

Dec 12, 2013
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