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RMMSMSP

Prerequisite

  • none

Course Overview:

  • Explore the uses and applications of statistics and probability in everyday life.
  • Learn about the essential components of a statistical study
    • About collecting and presenting data; about fundamental techniques of discrete probability; and about the relationship between probability and statistics, particularly as it appears in hypothesis testing.
  • By the use of activities, graphing calculators, spreadsheets, internet sites, problem solving in small groups, and statistical software.
  • Emphasis is on both understanding the material and implementing ideas in the classroom. Topics are chosen to align with Colorado's Model Content Standards for Mathematics.

Included Topics:
Statistical studies: Components of a statistical study, populations, samples, types of sampling, bias in sampling, types of statistical studies, examples of good and flawed studies, guidelines for evaluating statistical studies, types of data, errors in data, uses and abuses of percentages.
Data Displays: Frequency tables, types of statistical displays, bar graphs, histograms, pie charts, stackplots, line graphs, stem-and-leaf plots, media graphics, deceptive displays of data, use of software.
Discrete Probability: Basics of discrete probability and counting, joint probability, independent and dependent events, mutually and non-mutually exclusive events, at least once probabilities, permutations and combinations, many activities and applications.
Statistical Significance and Hypothesis Testing: Brief introduction to statistical significance, the role of probability in statistics, and hypothesis testing.

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