Student Workbook to accompany Introductory Statistics for Business and Economics 4e and Introductory Statistics 5e

by Wonnacott, Thomas H.; Wonnacott, Ronald J.

• ISBN13: 9780471508991
• ISBN10: 0471508993
• Edition: 4th
• Format: Paperback
• Copyright: 1991-01-16
• Publisher: Wiley

Summary

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.

Author Biography

Thomas H. Wonnacott is the author of Student Workbook to accompany Introductory Statistics for Business and Economics 4e and Introductory Statistics 5e, published by Wiley. Ronald Johnston Wonnacott OC FRSC was a Canadian economist. Wonnacott received his bachelor's and master's degrees from the University of Western Ontario, then earned a doctorate from Harvard University. He taught at Western from 1958 to 1996, and served as William G. Davis Professor of International Trade.

Table of Contents

PART A COMPLETE SOLUTIONS TO ALL ODD-NUMBERED PROBLEMS IN THE TEXT
I BASIC PROBABILITY AND STATISTICS
The Nature of Statistics	1	(5)
Descriptive Statistics	6	(11)
Probability	17	(10)
Probability Distributions	27	(12)
Two Random Variables	39	(18)
II INFERENCE FOR MEANS AND PROPORTIONS
Sampling	57	(9)
Point Estimation	66	(5)
Confidence Intervals	71	(9)
Hypothesis Testing	80	(7)
Analysis of Variance	87	(8)
III REGRESSION: RELATING TWO OR MORE VARIABLES
Fitting a Line	95	(3)
Simple Regression	98	(8)
Multiple Regression	106	(8)
Regression Extensions	114	(11)
Correlation	125	(9)
IV TOPICS IN CLASSICAL AND BAYESIAN INFERENCE
Nonparametric and Robust Statistics	134	(9)
Chi Square Tests	143	(7)
Maximum Likelihood Estimation	150	(4)
Bayesian Inference	154	(7)
Bayesian Decision Theory	161	(4)
V SPECIAL TOPICS FOR BUSINESS AND ECONOMICS
Decision Trees	165	(13)
Index Numbers	178	(6)
Sampling Designs	184	(3)
Time Series	187	(4)
Simultaneous Equations	191	(5)
PART B REVIEW PROBLEMS
I BASIC PROBABILITY AND STATISTICS
The Nature of Statistics	196	(3)
Descriptive Statistics	199	(8)
Probability	207	(3)
Probability Distributions	210	(7)
Two Random Variables	217	(4)
II INFERENCE FOR MEANS AND PROPORTIONS
Sampling	221	(5)
Point Estimation	226	(5)
Confidence Intervals	231	(7)
Hypothesis Testing	238	(5)
Analysis of Variance	243	(2)
III REGRESSION: RELATING TWO OR MORE VARIABLES
Fitting a Line	245	(2)
Simple Regression	247	(2)
Multiple Regression	249	(4)
Regression Extensions	253	(6)
Correlation	259	(5)
IV TOPICS IN CLASSICAL AND BAYESIAN INFERENCE
Nonparametric and Robust Statistics	264	(4)
CHI Square Tests	268	(3)
Maximum Likelihood Estimation	271	(1)
Bayesian Inference	272	(2)
Bayesian Decision Theory	274	(3)
V SPECIAL TOPICS FOR BUSINESS AND ECONOMICS
Decision Trees	277	(5)
Index Numbers	282	(5)
Sampling Designs	287	(2)
Time Series	289	(1)
Simultaneous Equations	290	(1)
PART C ANSWERS TO ALL REVIEW PROBLEMS	291	(13)
References	304