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An "Electronic Companion to Business Statistics" and "An Electronic Companion to Biostatistics" are multimedia statistics courses on CD-ROM. Through interactive lessons, animation, dynamic plots, audio, and video, this self-paced study tool helps refresh your knowledge of statistics and gives you new insight into how to approach your analysis problems.

Both programs feature the same simple interface that allows you to navigate quickly to specific concepts, without wading through material that you may have already mastered. Toggle freely between the reviewing and testing modes, constantly assessing your mastery of topics. Both "Electronic Companion to Business Statistics" and "An Electronic Companion to Biostatistics" come complete with a comprehensive workbook that features focused summaries, several case studies, and hundreds of exercises.

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Multimedia Features In Both CD-ROMs
  • Interactive graphics and applied examples and exercises
  • Insightful demonstrations that reveal how "tampering" with a process that is in control can lead to worse results than simply letting the process function
  • Over 20 video clips that explore real-life applications, such as the use of multiple regression in industrial welding

Topics Covered In "An Electric Companion To Business Statistics"

  • Data Basics
  • Describing Distributions
  • The Normal Distribution
  • Longitudinal Data
  • Describing Relationships
  • Producing Data
  • Probability Distributions
  • Sampling Distributions
  • Introduction to Inference
  • Inference for Distributions
  • Statistical Quality Control
  • Inference for Relationships
  • Nonparametric Methods

Topics Covered In "An Electric Companion To Biostatistics"

  • Introduction to Biostatistics
  • Data Basics
  • Population and Samples
  • Graphical Description
  • Numerical Description
  • Continuous Distributions
  • Data Management
  • Sampling Distributions
  • Statistical Inference
  • Inference for Quantitative Data
  • Inference for Qualitative Data
  • Analysis of Variance
  • Regression and Correlation
  • Statistical Quality Control
  • Nonparametric Methods

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