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U Can : statistics for dummies /
Make studying statistics simple with this easy-to-read resource Wouldn't it be wonderful if studying statistics were easier' With U Can: Statistics I For Dummies, it is! This one-stop resource combines lessons, practical examples, study questions, and online practice problems to provide yo...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
[2015]
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| Colección: | --For dummies.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Title Page; Copyright Page; Table of Contents; Introduction; About This Book; Foolish Assumptions; Beyond the Book; Where to Go from Here; Part I Getting Started With Statistics; Chapter 1: The Statistics of Everyday Life; Statistics and the Media: More Questions than Answers?; Probing popcorn problems; Venturing into viruses; Comprehending crashes; Mulling malpractice; Belaboring the loss of land; Scrutinizing schools; Studying sports; Banking on business news; Touring the travel news; Surveying sexual stats; Breaking down weather reports; Using Statistics at Work.
- Delivering babies
- and informationPosing for pictures; Poking through pizza data; Statistics in the office; Chapter 2: Taking Control: So Many Numbers, So Little Time; Detecting Errors, Exaggerations, and Just Plain Lies; Checking the math; Uncovering misleading statistics; Looking for lies in all the right places; Feeling the Impact of Misleading Statistics; Chapter 3: Tools of the Trade; Thriving in a Statistical World; Statistics: More than Just Numbers; Designing Appropriate Studies; Surveys (Polls); Experiments; Collecting Quality Data; Sample, random, or otherwise; Bias.
- Grabbing Some Basic Statistical JargonData; Data set; Variable; Population; Statistic; Parameter; Mean (Average); Median; Standard deviation; Percentile; Standard score; Distribution and normal distribution; Central Limit Theorem; z-values; Margin of error; Confidence interval; Hypothesis testing; p-values; Statistical significance; Correlation, regression, and two-way tables; Drawing Credible Conclusions; Reeling in overstated results; Questioning claims of cause and effect; Becoming a Sleuth, Not a Skeptic; Part II Number-Crunching Basics; Chapter 4 Crunching Categorical Data.
- Summing Up Data with Descriptive StatisticsCrunching Categorical Data: Tables and Percents; Counting on the frequency; Relating with percentages; Two-way tables: Summarizing multiple measures; Interpreting counts and percents with caution; Chapter 5 Means, Medians, and More; Measuring the Center with Mean and Median; Averaging out to the mean; Splitting your data down the median; Comparing means and medians: Histograms; Accounting for Variation; Reporting the standard deviation; Being out of range; Examining the Empirical Rule (68-95-99.7); Measuring Relative Standing with Percentiles.
- Calculating percentilesInterpreting percentiles; Gathering a five-number summary; Exploring interquartile range; Chapter 6 Getting the Picture: Graphing Categorical Data; Take Another Little Piece of My Pie Chart; Tallying personal expenses; Bringing in a lotto revenue; Ordering takeout; Projecting age trends; Raising the Bar on Bar Graphs; Tracking transportation expenses; Making a lotto profit; Tipping the scales on a bar graph; Pondering pet peeves; Chapter 7 Going by the Numbers: Graphing Numerical Data; Handling Histograms; Making a histogram; Interpreting a histogram.