Mathematics of Data Management 12 Study Guide

Paperback | April 23, 2010

byDavid Petro

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  • Additional practice questions and exercises for use with your existing Data Management 12 Student Edition
  • Includes key concepts with expanded examples
  • Consumable format which can serve as a reference tool for students as they enter university

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From the Publisher

Additional practice questions and exercises for use with your existing Data Management 12 Student EditionIncludes key concepts with expanded examplesConsumable format which can serve as a reference tool for students as they enter university

Format:PaperbackDimensions:10.7 × 8.3 × 0.5 inPublished:April 23, 2010Publisher:McGraw-Hill EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:007090880X

ISBN - 13:9780070908802

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Extra Content

Table of Contents

NOTE: Titles shown in grey are sections of the Mathematics of Data Management student edition which covers topics that were omitted when the Ontario MDM4U curriculum was revised in 2007. They are no longer required for this course.

Chapter 1 Tools for Data Management
1.1 The Iterative Process
1.2 Data Mangement Software
1.3 Databases
1.4 Simulations
1.5 Graph Theory
1.6 Modelling With Matrices
1.7 Problem Solving With Matrices

Chapter 2 Statistics of One Variable
2.1 Data Analysis With Graphs
2.2 Indices
2.3 Sampling Techniques
2.4 Bias in Surveys
2.5 Measures of Central Tendency
2.6 Measures of Spread

Chapter 3 Statistics of Two Variables
3.1 Scatter Plots and Linear Correlation
3.2 Linear Regression
3.3 Non-Linear
3.4 Cause and Effect
3.5 Critical Analysis

Chapter 4 Permutations and Organized Counting
4.1 Organized Counting
4.2 Factorials and Permutations
4.3 Permutations with Some identical Elements
4.4 Pascal's Triangle
4.5 Applying Pascal's Method

Chapter 5 Combinations and the Binomial Theorem
5.1 Organized Counting With Venn Diagrams
5.2 Combinations
5.3 Problem Solving With Combinations
5.4 The Binomial Theorem

Chapter 6 Introduction to Probability
6.1 Basic Probability Concepts
6.2 Odds
6.3 Probabilities Using Counting Techniques
6.4 Dependent and Independent Events
6.5 Mutually Exclusive Events
6.6 Applying Matrices to Probability Problems

Chapter 7 Probability Distributions
7.1 Probability Distributions
7.2 Binomial Distributions
7.3 Geometric Distributions
7.4 Hypergeometric Distributions

Chapter 8 The Normal Distribution
8.1 Continuous Probability Distributions
8.2 Properties of the Noram Distribution
8.3 Normal Sampling and Modelling
8.4 Normal Approximation to the Binomial Distribution
8.5 Repeated Sampling and Hypothesis Testing
8.6 Confidence Intervals

Chapter 9 Culminating Project: Integration of the Techniques of Data Management
Case Studies

Practice Exam
Answers