Statistics for Business and Economics

Statistics for Business and Economics

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Provides students, primarily in the fields of business adminstration, economics, commerce and management, with a sound conceptual introduction to the field of statistics and its many applications.
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Product details

  • Paperback | 832 pages
  • HarperEducationalPublishers
  • New South Wales, Australia
  • Australian ed
  • tables, index, bibliog
  • 0063121069
  • 9780063121065

Table of contents

OwOw1. INTRODUCTION. 1.1 The Population and the Sample 1.2 Descriptive Statistics 1.3 Statistical Inference 1.4 Some Illustrative Applications Summary/Glossary/Supplementary Exercises. 2. DESCRIPTIVE STATISTICS I. TABULAR GRAPHICAL APPROACHES 2.1 Summarising Qualitative Data 2.2 Summarising Quantitative Data: Tabular Methods 2.3 Summarising Quantitative Data: Graphical Methods 2.4 Exploratory Data Analysis Summary/Glossary/Key Formulas/Supplementary Exercises/Computer Exercise/Case Problem Australasia's Corporate Scoreboard, 1986-87. 3. DESCRIPTIVE STATISTICS II. MEASURES OF LOCATION AND DISPERSION 3.1 Measures of Location 3.2 Measures of Dispersion 3.3 Measures of Location and Dispersion for Grouped Data 3.4 Exploratory Data Analysis 3.5 Role of the Computer in Descriptive Statistics Summary/Glossary/Key Formulas/Supplementary Exercises/ Computer Exercise/Case Problem Australasia's Corporate Scoreboard (cont) Appendix. 4. INTRODUCTION TO PROBABILITY 4.1 Experiments and Sample Space 4.2 Assigning Probabilities to Experimental Outcomes 4.3 Events and their Probabilites 4.4 Some Basic Relationships of Probability 4.5 Conditional Probability 4.6 Bayes' Theorem Summary/Glossary/Key Formulas/Supplementary Exercises/Case Problem: Simtech Electronics Pty Ltd. 5. DISCRETE PROBABILITY DISTRIBUTIONS 5.1 Random Variables 5.2 Discrete Probability Distributions 5.3 Expected Value and Variance 5.4 The Binomial Probability Distribution 5.5 The Poisson Distribution Summary/ Glossary/Key Formulas/Supplementary Exercises/Case Problem. Sunshine Kiama Newsagency. 6. CONTINOUS PROBABILITY DISTRIBUTIONS 6.1 The Uniform Distribution 6.2 The Normal Distribution 6.3 The Exponential Distribution Summary/ Glossary/Key Formulas/Supplementary Exercises. 7. SAMPLING AND SAMPLING DISTRIBUTIONS 7.1 The Electronics Associates 7.2 Simple Random Sampling 7.3 Point Estimation 7.4 Introduction to Sampling Distributions 7.5 Sampling Distribution of x 7.6 Sampling Distribution of p 7.7 Properties of Point Estimators 7.8 Other Sampling Methods Summary/ Glossary/Key Formulas/Supplementary Exercises/Appendix. 8. INTERVAL ESTIMATION 8.1 Interval Estimation of a Population Mean - Known 8.2 Interval Estimation of a Population Mean - Unknown 8.3 Determining the Size of a Sample 8.4 Interval Estimation of a Population 8.5 Proportion Summary/Glossary/Key Formulas/Supplementary Exercises/Computer Exercise/Case Problems: A. Australasia's Corporate Scoreboard (cont.) B. Mallory Castings. 9. HYPOTHESIS TESTING 9.1 Developing Hypotheses 9.2 Errors involved in Hypotheses Testing 9.3 One-Tailed Hypothesis Tests about a Population Mean 9.4 Two-Tailed Tests about a population Mean 9.5 Hypotheses Tests about a Population Mean - Small - Sample Case 9.6 Calculating the Probability of Type II Errors 9.7 Detemining Samples Sizes for Hypotheses Testing 9.8 Hypotheses Tests about a Population Proportion Summary/Glossary/Key Formulas/Supplementary Exercises/Case Problems (part contents)
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