Introductory Statistics for Business and EconomicsWiley, 1984 - 746 páginas This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses. |
Contenido
The Nature of Statistics | 3 |
Summary | 19 |
Summary | 48 |
Derechos de autor | |
Otras 27 secciones no mostradas
Términos y frases comunes
analysis ANOVA ANOVA table Answer True average b₁ Bayesian bias binomial called cell chance Chapter column confidence interval cost covariance decision difference dummy estimate expected value extraneous factor fertilizer forecast formula given graph H₁ income increase independent least squares likelihood function linear loss machines measure median multiple regression normal distribution null hypothesis observational study obtain p-value panel population mean population proportion posterior distribution Pr(E prediction prior distribution probability distribution Problem rainfall random sample random variable randomly regression coefficient regression line regressors reject relative frequency repeated residual sample mean sampling distribution score seasonal serial correlation shipment Similarly simple random sample simple regression slope Solution standard deviation standard error statistics Suppose target unbiased variance variation weight women X₁ X₂ Y₁ yield zero μ₁ Σχε