Business statistics in brief / (Record no. 6020)

MARC details
000 -LEADER
fixed length control field 06530cam a22001934a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0324048688 (package)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0324024347 (text only)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 032404867x (CD only)
050 00 - CALL NUMBER
Classification number HF1017
Item number .O95
100 1# - AUTHOR
Personal name Ovedovitz, Albert C.
245 10 - TITLE
Title Business statistics in brief /
Statement of responsibility, etc Albert C. Ovedovitz.
260 ## - PUBLICATION INFORMATION
Place of publication Australia ;
-- united States :
Name of publisher South-Western College Pub.,
Year of publication 2001.
300 ## - DESCRIPTION
Number of Pages xvi, 507 p. :
Other physical details ill. ;
Dimensions 26 cm. +
Accompanying material 1 computer optical disc (4 3/4 in.)
500 ## - NOTES
General note Includes index
505 ## - FORMATTED CONTENTS NOTE
Table of Content Chapter 1 Numbers, Management, and Statistics 2 --<br/>Section 1 The Definition of Statistics 4 --<br/>Section 2 Steps in a Statistical Investigation 6 --<br/>Section 3 Statistics at Work in Business and Industry 9 --<br/>Section 4 Sources and Types of Data 13 --<br/>Data Sources 13 --<br/>Data Types 18 --<br/>Chapter 2 The Organization and Display of Data 26 --<br/>Section 1 Organizing and Presenting Data 28 --<br/>Beginning the Study 29 --<br/>Gathering the Data 29 --<br/>Organizing and Presenting the Data 30 --<br/>Recommending Action 32 --<br/>Sections 2 Stem Plots and Dot Plots 36 --<br/>Section 3 Graphs and Charts 39 --<br/>Line Graphs 40 --<br/>Ogives 42 --<br/>Density Curves 45 --<br/>Bar Graphs 47 --<br/>Pareto Charts 49 --<br/>Pie Charts 51 --<br/>Section 4 Using the Computer 52 --<br/>A Line Graph 52 --<br/>A Bar Graph 53 --<br/>A Pareto Chart 53 --<br/>A Pie Chart 55 --<br/>Chapter 3 Central Tendency and Variation 64 --<br/>Section 1 Measures of Central Tendency 66 --<br/>The Arithmetic Mean 66 --<br/>The Median 71 --<br/>The Mode 73 --<br/>Section 2 Measures of Variation 80 --<br/>The Range 81 --<br/>The Variance and Standard Deviation 83 --<br/>The Coefficient of Variation 86 --<br/>Section 3 Percentiles, Quartiles, and the Interquartile Range 91 --<br/>Percentiles and Quartiles 91 --<br/>The Interquartile Range 94 --<br/>Section 4 The Shape of a Distribution 98 --<br/>Section 5 The Empirical Rule 103 --<br/>Section 6 Using the Computer 105 --<br/>Appendix The Summation Operator 119 --<br/>Chapter 4 The Laws of Chance 122 --<br/>Section 1 The Language of Probability 124 --<br/>Section 2 Two Definitions of Probability 126 --<br/>Section 3 Events and Probability 130 --<br/>Dependence and Independence 131 --<br/>Mutually Exclusive and Exhaustive Events 133 --<br/>Section 4 Some Laws of Probability 137 --<br/>The Law of Addition 137 --<br/>The Law of Multiplication 139 --<br/>Chapter 5 Probability Distributions 146 --<br/>Section 1 Random Variables 148 --<br/>Section 2 The Binomial Probability Distribution 155 --<br/>Section 3 The Poisson Probability Distribution 165 --<br/>Section 4 The Normal Probability Distribution 171 --<br/>Section 5 Approximating the Binomial Distribution 183 --<br/>Using the Normal Approximation 183 --<br/>Using the Poisson Approximation 186 --<br/>Chapter 6 Sampling Distributions and Sampling 196 --<br/>Section 1 The Sampling Distribution of the Mean 198 --<br/>Section 2 The Sampling Distribution of the Proportion 207 --<br/>Section 3 The Finite Population Correction Factor 209 --<br/>Section 4 Types of Samples 212 --<br/>Convenience Samples 212 --<br/>Judgment Samples 213 --<br/>Simple Random Samples 213 --<br/>Systematic Random Samples 214 --<br/>Stratified Random Samples 216 --<br/>Cluster Samples 217 --<br/>Chapter 7 Estimation 222 --<br/>Section 1 Point Estimates 224 --<br/>Unbiased Estimators 224 --<br/>Consistent Estimators 225 --<br/>Section 2 Confidence Intervals 229 --<br/>Large Samples 232 --<br/>Small Samples 236 --<br/>Section 3 Determination of Sample Size 241 --<br/>Sample Sizes for Estimating an Average 244 --<br/>Sample Sizes for Estimating a Proportion 246 --<br/>A Poll on Health Care 247 --<br/>Section 4 Using the Computer to Estimate 250 --<br/>Making Large-Sample Estimates by Computer 250 --<br/>Getting a Samll-Sample Confidence Interval by Computer 252 --<br/>Chapter 8 Hypothesis Testing and Decision Making Using Means 260 --<br/>Section 1 The Nature of Hypothesis Testing 262 --<br/>Section 2 Tests About Single Means 266 --<br/>Large Samples 266 --<br/>Small Samples 271 --<br/>Section 3 Comparison of Means from Independent Samples 275 --<br/>Large Samples 276 --<br/>Small Samples 277 --<br/>Section 4 Inference, Decision Making, and Statistical Process Control 284 --<br/>Section 5 Computers and p Values 290 --<br/>Large Samples 290 --<br/>Small Samples 292 --<br/>Chapter 9 Hypothesis Testing and Decision Making for Categorical Data 300 --<br/>Section 1 Tests of Single Proportions 302 --<br/>Section 2 General Analysis of Proportions, Counts, and Chi-Square 308 --<br/>Comparing Two Proportions 309 --<br/>Testing for Several Proportions 311 --<br/>Section 3 Goodness-of-Fit Tests 316 --<br/>Section 4 Contingency Table Analysis Using Chi-Square 319 --<br/>Section 5 Using the Computer to Solve Chi-Square Problems 323 --<br/>Using Excel 323 --<br/>Using Minitab 324 --<br/>Chapter 10 Regression and Correlation 330 --<br/>Section 1 Scatterplots 332 --<br/>Association and Causation 333 --<br/>Errors in Specification, Errors in Measurement, and Sampling Error 335 --<br/>Section 2 Simple Linear Regression 342 --<br/>Section 3 The Standard Error of Estimate 354 --<br/>Section 4 Coefficients of Correlation and Determination 357 --<br/>Section 5 Forecasting with Simple Regression Models 366 --<br/>The Uses and Limitations of Predictions Based on Models 367 --<br/>Prediction Intervals 367 --<br/>Confidence Intervals 369 --<br/>Section 6 Assessing the Significance of Slope Estimates 374 --<br/>Two-Tailed Tests 374 --<br/>One-Tailed Tests 375 --<br/>Confidence Intervals for Slope Estimates 376 --<br/>Section 7 Using the Computer for Regression Analysis 380 --<br/>Using Excel for Regression Analysis 380 --<br/>Using Minitab for Simple Linear Regression 381 --<br/>Chapter 11 Multiple Regression and Time Series Analysis 394 --<br/>Section 1 The Mathematical Structure of Multiple Regression 396 --<br/>Section 2 Calculating and Interpreting Multiple Regression Equations 397 --<br/>Using Excel 398 --<br/>Using Minitab 400 --<br/>Section 3 Improving the Regression Model 405 --<br/>A Variable Selection Criterion: Adjusted r[superscript 2] 405 --<br/>Indicator Variables 407 --<br/>Section 4 Residual Analysis: Spotting Potential Problems 408 --<br/>Looking for Linearity 409 --<br/>Looking for Homoscedasticity 410 --<br/>Looking for Normality 410 --<br/>Looking for Serial Correlation 411 --<br/>Quick Fixes for Regression Problems 412 --<br/>Section 5 Multicollinearity 412 --<br/>Section 6 Forecasting with a Multiple Regression Model 413 --<br/>Section 7 Time Series Analysis 417 --<br/>Components of the Classical Time Series Model 417 --<br/>Forecasting with Smoothing Techniques 419 --<br/>Comparing Forecasting Methods 422 --<br/>Adjusting for Seasonal Data 423 --<br/>Forecasting Using Trend and Seasonal Factors 426.
650 #0 - SUBJECTS
Topical Term Commercial statistics.
650 #0 - SUBJECTS
Topical Term Statistics.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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