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Nelson EducationSchoolMathematicsMathematics of Data Management | ||||||||||||||||||||||||||||||||||||||||||||||||||
Program OverviewThe topics in the textbook are sequenced so that students can work on their projects as they complete their study of the course material: Chapter 1 (The Power of Information) and Chapter 2 (In Search of Good Data) focus on posing and refining questions, collecting data, and finding information. Chapter 3 (Tools for Analyzing Data) provides the statistical tools students will need to organize and analyze the data they have collected. Chapter 4 (Dealing with Uncertainty—An Introduction to Probability) and Chapter 5 (Probability Distributions and Predictions) develop the theory and applications of probability, and provide the mathematical background for the development and future study of statistics. Chapter 6 (Solving Problems with Matrices, Graphs, and Diagrams) is not essential to the successful completion of the culminating project, but will provide students with alternative ways of organizing and presenting data. Project Connection feature appears throughout the text as either a full-page insert or a margin note to suggest how recently presented material can be applied to the culminating project:
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