The Statistics Problem SolverResearch & Education Assoc., 1978 - 1044 páginas The Problem Solvers are an exceptional series of books that are thorough, unusually well-organized, and structured in such a way that they can be used with any text. No other series of study and solution guides has come close to the Problem Solvers in usefulness, quality, and effectiveness. Educators consider the Problem Solvers the most effective series of study aids on the market. Students regard them as most helpful for their school work and studies. With these books, students do not merely memorize the subject matter, they really get to understand it. Each Problem Solver is over 1,000 pages, yet each saves hours of time in studying and finding solutions to problems. These solutions are worked out in step-by-step detail, thoroughly and clearly. Each book is fully indexed for locating specific problems rapidly. Exceptionally useful for all persons taking courses in this field. The subject matter is thoroughly developed, beginning with basic probability and extending through binomial, normal, joint, discrete, and continuous distributions. Other sections deal with sampling, confidence intervals, hypothesis testing, regression, and correlation analysis. An extensive number of applications are included. |
Contenido
I | 1 |
II | 56 |
III | 103 |
IV | 118 |
V | 158 |
VI | 177 |
VII | 219 |
VIII | 275 |
XIV | 420 |
XV | 506 |
XVI | 570 |
XVII | 665 |
XVIII | 768 |
XIX | 809 |
XX | 864 |
XXI | 933 |
Otras ediciones - Ver todas
The Statistics Problem Solver: A Complete Solution Guide to Any Textbook Sin vista previa disponible - 1996 |
Términos y frases comunes
accept approximately assume average binomial distribution calculate cards coefficient compute confidence interval correlation critical value cumulative decision rule defined degrees of freedom denote distributed random variable distributed with mean equal equation event expected frequencies expected value find the probability formula given H₁ Hence independent inequality integral joint density Let X1 level of significance linear median moment generating function Multiplying n₂ normally distributed null hypothesis number of observations obtain P₁ P₂ Poisson distribution population Pr(X Pr(Y Pr(Z previous problem probability density function proportion random sample Rank regression line reject H sample mean scores selected Solution standard deviation standard normal table Substituting Subtracting sufficient statistic sum of squares t-distribution Theorem toss total number wish to find X₁ Y₁ Y₂ yields Z-score Σ Σ σ² ΣΥ ΣΧ ΣΧΥ
Referencias a este libro
Regression Analysis: Statistical Modeling of a Response Variable Rudolf Jakob Freund,William J. Wilson Sin vista previa disponible - 1998 |
Regression Analysis: Statistical Modeling of a Response Variable Rudolf Jakob Freund,William J. Wilson Vista previa limitada - 1998 |