Essential Statistics, Regression, and Econometrics (2nd Ed.)
Auteur : Smith Gary
2. Displaying Data
3. Descriptive Statistics
4. Probability
5. Sampling
6. Estimation
7. Hypothesis Testing
8. Simple Regression
9. The Art of Regression Analysis
10. Multiple Regression
11. Modeling
- Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics
- Focuses on essential information to enable students to develop their own statistical reasoning
- Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools
- Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters
Date de parution : 06-2015
Ouvrage de 396 p.
19x23.4 cm
Thème d’Essential Statistics, Regression, and Econometrics :
Mots-clés :
Alternative hypothesis; Autoregressive models; Bar chart; Bayesian; Boxplot; Categorical data; Categorical variables; Central limit theorem; Chartjunk; Coefficient of determination; Conditional probability; Confidence interval; Confidence intervals; Confidence level; Confounding factors; Continuous; Continuous compounding; Convenience sample; Correlation coefficient; Covariance; Cross-sectional; Data grubbing; Degrees of freedom; Density; Detrended data; Discrete; Dummy variables; Equally likely; Expected value; Experimental data; Geometric mean; Histogram; Incautious extrapolation; Independent; Law of averages; Least squares; Linear; Long-run frequency; Longitudinal (panel); Matched-pair; Mean; Median; Multicollinearity; Multiple regression; Mutually exclusive; Nominal; Normal distribution; Null hypothesis; Numerical data; Observational data; Omitted origin; Outlier; P value; Parameter; Per capita; Polynomial; Population; Power function; Prediction intervals; Probability distribution; Prospective study; Quadratic; R; Random sample; Random variable; Real; Regression toward the mean; Retrospective study; Sample; Sampling distribution; Sampling error; Scatterplot; Selection bias; Self-selection bias; Skewed; Spurious correlation; Standard deviation; Standard error; Standard error of estimate (SEE); Statistical significance; Survivor bias; t distribution; Time series; Time series graph; Trimmed mean; Unbiased; Variance