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Statistics Essentials For Dummies

Om Statistics Essentials For Dummies

The "must-know" formulas and calculations What you need to know about statistical techniques Core topics in quick, focused lessons Stay sharp on statistics This practical guide sticks to the point with discrete explanations of essential topics taught in a typical first semester statistics course. Get a handle on charts, graphs, and descriptive stats. Discover the many experiments, surveys, and tests you'll encounter in statistics. From distributions and confidence intervals to regression and hypothesis testing, the nitty-gritty information presented here is perfect to use in studying for exams, doing homework, or as a quick reference. Inside... Stats, charts, and graphs Binomial, normal, and t-distributions The Central Limit Theorem Correlation and regression Probabilities for two-way tables Ten common statistical mistakes

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  • Språk:
  • Engelska
  • ISBN:
  • 9781119590309
  • Format:
  • Häftad
  • Sidor:
  • 192
  • Utgiven:
  • 14. juni 2019
  • Mått:
  • 211x141x14 mm.
  • Vikt:
  • 296 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 8. januari 2025
Förlängd ångerrätt till 31. januari 2025
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Beskrivning av Statistics Essentials For Dummies

The "must-know" formulas and calculations What you need to know about statistical techniques Core topics in quick, focused lessons Stay sharp on statistics This practical guide sticks to the point with discrete explanations of essential topics taught in a typical first semester statistics course. Get a handle on charts, graphs, and descriptive stats. Discover the many experiments, surveys, and tests you'll encounter in statistics. From distributions and confidence intervals to regression and hypothesis testing, the nitty-gritty information presented here is perfect to use in studying for exams, doing homework, or as a quick reference. Inside... Stats, charts, and graphs Binomial, normal, and t-distributions The Central Limit Theorem Correlation and regression Probabilities for two-way tables Ten common statistical mistakes

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