Statistics For Dummies
- 6h 35m
- Deborah Rumsey
- John Wiley & Sons (US)
- 2003
Stymied by statistics? No fear—this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show how these concepts apply to your everyday life. You’ll see how to take the margin of error out of opinion polls and how to analyze and interpret data for improved classroom or on-the-job performance.
Discover how to:
- Interpret and critique graphs and charts
- Determine the odds with probability
- Guesstimate with confidence using confidence levels
- Set up and carry out a hypothesis test
- Compute statistical formulas
About the Author
Deborah Rumsey earned her Ph.D. in statistics from Ohio State University (OSU) in 1993. Upon graduating, she joined the faculty in the Department of Statistics at Kansas State University, winning the distinguished Presidential Teaching Award and earning tenure and promotion in 1998. In 2000, she returned to OSU as the Director of the Mathematics and Statistics Learning Center, where she is today. Deb is the Editor of the “Teaching Bits” of the Journal of Statistics Education; she has also published papers and given professional presentations on the subject of statistics education, with a particular emphasis on statistical literacy (skills for understanding statistics in everyday life and the workplace) and immersive learning environments (environments that promote students’ discovery of ideas on their own).
In this Book
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The Statistics of Everyday Life
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Statistics Gone Wrong
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Tools of the Trade
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Getting the Picture—Charts and Graphs
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Means, Medians, and More
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What Are the Chances?—Understanding Probability
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Gambling to Win
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Measures of Relative Standing
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Caution—Sample Results Vary!
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Leaving Room for a Margin of Error
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The Business of Estimation—Interpreting and Evaluating Confidence Intervals
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Calculating Accurate Confidence Intervals
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Commonly Used Confidence Intervals—Formulas and Examples
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Claims, Tests, and Conclusions
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Commonly Used Hypothesis Tests—Formulas and Examples
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Polls, Polls, and More Polls
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Experiments—Medical Breakthroughs or Misleading Results?
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Looking for Links—Correlations and Associations
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Statistics and Toothpaste—Quality Control
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Ten Criteria for a Good Survey
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Ten Common Statistical Mistakes
