Introduction to business statistics (Record no. 3226)

MARC details
000 -LEADER
fixed length control field 06717nam a22001937a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0534387705
Terms of availability TZS 72,170/=
040 ## - CATALOGING SOURCE
Original cataloging agency MUL
Language of cataloging eng
Description conventions AACR
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5 WEI
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Weiers, Ronald M.
245 ## - TITLE STATEMENT
Title Introduction to business statistics
Statement of responsibility, etc / Ronald M. Weiers
246 ## - Varying form of Title
Title proper/short title Student solutions manual
250 ## - Edition Statement
Edition statement 4th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Australia :
Name of publisher Duxbury,
Year of publication ©2002
300 ## - PHYSICAL DESCRIPTION
Number of Pages [ca vii], 323 p. :
Other physical details col. ill. ;
Dimensions 26 cm.
505 ## - Formatted Contents
Formatted contents note Part 1: BUSINESS STATISTICS: INTRODUCTION AND BACKGROUND <br/>1. A Preview of Business Statistics <br/>Introduction <br/>Statistics: Yesterday and Today <br/>Descriptive Versus Inferential Statistics <br/>Types of Variables and Scales of Measurement <br/>Statistics in Business Decisions <br/>Business Statistics: Tools Versus Tricks <br/>Summary <br/>2. Visual Description of Data <br/>Introduction <br/>The Data Array and the Frequency Distribution <br/>The Stem and Leaf Display and the Dotplot <br/>Visual Representation of the Data <br/>The Scatter Diagram <br/>Tabulation, Contingency Tables, and the Excel PivotTable Wizard <br/>Summary <br/>3. Statistical Description of Data <br/>Introduction <br/>Statistical Description: Measures of Central Tendency <br/>Statistical Description: Measures of Dispersion <br/>Additional Dispersion Topics <br/>Descriptive Statistics from Grouped Data <br/>Statistical Measures of Association <br/>Summary <br/>4. Data Collection and Sampling Methods <br/>Introduction <br/>Research Basics <br/>Survey Research <br/>Experimentation and Observational Research <br/>Secondary Data <br/>The Basics of Sampling <br/>Sampling Methods <br/>Summary <br/>Part 2: PROBABILITY <br/>5. Probability: Review of Basic Concepts <br/>Introduction <br/>Probability: Terms and Approaches <br/>Unions and Intersections of Events <br/>Addition Rules for Probability <br/>Multiplication Rules for Probability <br/>Bayes' Theorem and the Revision of Probabilities <br/>Counting: Permutations and Combinations <br/>Summary <br/>6. Discrete Probability Distributions <br/>Introduction <br/>The Binomial Distribution <br/>The Poisson Distribution <br/>Simulating Observations from a Discrete Probability Distribution <br/>Summary <br/>7. Continuous Probability Distributions <br/>Introduction <br/>The Normal Distribution <br/>The Standard Normal Distribution <br/>The Normal Approximation to the Binomial Distribution <br/>The Exponential Distribution <br/>Simulating Observations from a Continuous Probability Distribution <br/>Summary <br/>Part 3: SAMPLING DISTRIBUTION AND ESTIMATION <br/>8. Sampling Distributions <br/>Introduction <br/>A Review of Sampling Distributions <br/>The Sampling Distribution of the Mean <br/>The Sampling Distribution of the Proportion <br/>Sampling Distributions When the Population is Finite <br/>Computer Simulation of Sampling Distributions <br/>Summary <br/>9. Estimation from Simple Data <br/>Introduction <br/>Point Estimates <br/>A Preview of Interval Estimates <br/>Confidence Interval Estimates for the Mean: s Known <br/>Confidence Interval Estimates for the Mean: s Unknown <br/>Confidence Interval Estimates for the Population Proportion <br/>Sample Size Determination <br/>When the Population is Finite <br/>Summary <br/>Part 4: HYPOTHESIS TESTING <br/>10. Hypothesis Tests Involving a Simple Mean or Proportion <br/>Introduction <br/>Hypothesis Testing: Basic Procedures <br/>Testing a Mean, Population Standard Deviation Known <br/>Confidence Intervals and Hypothesis Testing <br/>Testing a Mean, Population Standard Deviation Unknown <br/>Testing a Proportion <br/>The Power of a Hypothesis Test <br/>Summary <br/>11. Hypothesis Tests Involving Two Simple Means or Proportions <br/>Introduction <br/>The Pooled-Variances t-Test for Comparing the Means of Two Independent Samples <br/>The Unequal-Variances t-Test for Comparing the Means of Two Independent Samples <br/>The z-Test for Comparing the Means of Two Independent Samples <br/>Comparing Two Means When the Samples are Dependent <br/>Comparing Two Sample Proportions <br/>Comparing the Variances of Two Independent Samples <br/>Summary <br/>12. Analysis of Variance Tests <br/>Introduction <br/>Analysis of Variance: Basic Concepts <br/>One-Way Analysis of Variance <br/>The Randomized Block Design <br/>Two-Way Analysis of Variance <br/>Summary <br/>13. Chi-Square Applications <br/>Introduction <br/>Basic Concepts in Chi-Square Testing <br/>Tests for Goodness-of-Fit and Normality <br/>Testing the Independence of Two Variables <br/>Comparing Proportions from k Independent Samples <br/>Estimation and Tests Regarding the Population Variance <br/>Summary <br/>14. Nonparametric Methods <br/>Introduction <br/>Wilcoxon Signed Rank Test for One Sample <br/>Wilcoxon Signed Rank Test for Comparing Paired Samples <br/>Wilcoxon Rank Sum Test for Comparing Two Independent Samples <br/>Kruskal-Wallis Test for Comparing More Than Two Independent Samples <br/>Friedman Test for the Randomized Block Design <br/>Other Nonparametric Methods <br/>Summary <br/>Part 5: REGRESSION, MODEL BUILDING, AND TIME SERIES <br/>15. Simple Linear Regression and Correlation <br/>Introduction <br/>The Simple Linear Regression Model <br/>Interval Estimation Using the Sample Regression Line <br/>Correlation Analysis <br/>Estimation and Tests Regarding the Sample Regression Line <br/>Additional Topics in Regression and Correlation Analysis <br/>Summary <br/>16. Multiple Regression and Correlation <br/>Introduction <br/>The Multiple Regression Model <br/>Interval Estimation in Multiple Regression <br/>Multiple Correlation Analysis <br/>Significance Tests in Multiple Regression and Correlation <br/>Overview of the Computer Analysis and Interpretation <br/>Additional Topics in Multiple Regression and Correlation <br/>Summary <br/>17. Model Building <br/>Introduction <br/>Polynomial Models with One Quantitative Predictor Variable <br/>Polynomial Models with Two Quantitative Predictor Variables <br/>Qualitative Variables <br/>Data Transformations <br/>Multicollinearity <br/>Stepwise Regression <br/>Selecting a Model <br/>Summary <br/>18. Time Series, Forecasting and Index Numbers <br/>Introduction <br/>Time Series <br/>Smoothing Techniques <br/>Seasonal Indexes <br/>Forecasting <br/>Evaluating Alternative Models: MAD and MSE <br/>Autocorrelation, the Durbin-Watson Test, and Autoregressive Forecasting <br/>Index Numbers <br/>Summary <br/>Part 6: SPECIAL TOPICS <br/>19. Decision Theory <br/>Introduction <br/>Structuring the Decision Situation <br/>Non-Bayesian Decision Making <br/>Bayesian Decision Making <br/>The Opportunity Loss Approach <br/>Incremental Analysis and Inventory Decisions <br/>Summary <br/>Appendix: The Expected Value of Imperfect Information <br/>20. Total Quality Mangement <br/>Introduction <br/>A Historical Perspective and Defect Detection <br/>The Emergence of Total Quality Management <br/>Practicing Total Quality Management <br/>Some Statistical Tools for Total Quality Management <br/>Statistical Process Control: The Concepts <br/>Control Charts for Variables <br/>Control Charts for Attributes <br/>More on Computer-Assisted Statistical Process Control <br/>Summary
546 ## - LANGUAGE NOTE
Language note eng
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Commercial statistics
942 ## - ADDED ENTRY ELEMENTS
Item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Accession Number Copy number Price effective from Koha item type
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