The Britannica Guide to Statistics and ProbabilityBritannica Educational Publishing, 1 Απρ 2010 - 288 σελίδες By observing patterns and repeated behaviors, mathematicians have devised calculations to significantly reduce human potential for error. This volume introduces the historical and mathematical basis of statistics and probability as well as their application to everyday situations. Readers will also meet the prominent thinkers who advanced the field and established a numerical basis for prediction. |
Περιεχόμενα
21 | |
CHAPTER 2 PROBABILITY THEORY | 48 |
CHAPTER 3 STATISTICS | 115 |
CHAPTER 4 GAME THEORY | 154 |
CHAPTER 5 COMBINATORICS | 197 |
CHAPTER 6 BIOGRAPHIES | 244 |
CHAPTER 7 SPECIAL TOPICS | 291 |
GLOSSARY | 321 |
BIBLIOGRAPHY | 324 |
326 | |
BACK COVER | 334 |
Άλλες εκδόσεις - Προβολή όλων
The Britannica Guide to Statistics and Probability Erik Gregersen Associate Editor, Astronomy and Space Exploration Περιορισμένη προεπισκόπηση - 2010 |
Συχνά εμφανιζόμενοι όροι και φράσεις
American mathematician analysis applications approximately assumed average Bayes’s theorem Bayesian Bernoulli binomial distribution Brownian motion calculation called central limit theorem century chance coefficient combinatorial confidence interval curve data values decision defined definition denoted determine developed difficult equal equation error event example experiment Fermat field find finite first five fixed French mathematician function game theory geometry given graph hypothesis identified important independent infinite integers interval estimate large numbers law of large linear math mathematical mathematician measure methods Nash Nash equilibrium Neumann normal distribution observed obtained occurs orthogonal parameter particle partitions payoff Pierre de Fermat players Poisson prob probability distribution probability theory problem properties random variable red balls regression result sample mean sample space satisfies scientific shoot significance simple random sample solution specific standard deviation statistician stochastic process strategy subsets sufficient tion tosses variable—sum games variance vertices vote voters