000			06530cam a22001934a 4500
999			_c6020 _d6020
020			_a0324048688 (package)
020			_a0324024347 (text only)
020			_a032404867x (CD only)
050	0	0	_aHF1017 _b.O95
100	1		_aOvedovitz, Albert C.
245	1	0	_aBusiness statistics in brief / _cAlbert C. Ovedovitz.
260			_aAustralia ; _aunited States : _bSouth-Western College Pub., _c2001.
300			_axvi, 507 p. : _bill. ; _c26 cm. + _e1 computer optical disc (4 3/4 in.)
500			_aIncludes index
505			_aChapter 1 Numbers, Management, and Statistics 2 -- Section 1 The Definition of Statistics 4 -- Section 2 Steps in a Statistical Investigation 6 -- Section 3 Statistics at Work in Business and Industry 9 -- Section 4 Sources and Types of Data 13 -- Data Sources 13 -- Data Types 18 -- Chapter 2 The Organization and Display of Data 26 -- Section 1 Organizing and Presenting Data 28 -- Beginning the Study 29 -- Gathering the Data 29 -- Organizing and Presenting the Data 30 -- Recommending Action 32 -- Sections 2 Stem Plots and Dot Plots 36 -- Section 3 Graphs and Charts 39 -- Line Graphs 40 -- Ogives 42 -- Density Curves 45 -- Bar Graphs 47 -- Pareto Charts 49 -- Pie Charts 51 -- Section 4 Using the Computer 52 -- A Line Graph 52 -- A Bar Graph 53 -- A Pareto Chart 53 -- A Pie Chart 55 -- Chapter 3 Central Tendency and Variation 64 -- Section 1 Measures of Central Tendency 66 -- The Arithmetic Mean 66 -- The Median 71 -- The Mode 73 -- Section 2 Measures of Variation 80 -- The Range 81 -- The Variance and Standard Deviation 83 -- The Coefficient of Variation 86 -- Section 3 Percentiles, Quartiles, and the Interquartile Range 91 -- Percentiles and Quartiles 91 -- The Interquartile Range 94 -- Section 4 The Shape of a Distribution 98 -- Section 5 The Empirical Rule 103 -- Section 6 Using the Computer 105 -- Appendix The Summation Operator 119 -- Chapter 4 The Laws of Chance 122 -- Section 1 The Language of Probability 124 -- Section 2 Two Definitions of Probability 126 -- Section 3 Events and Probability 130 -- Dependence and Independence 131 -- Mutually Exclusive and Exhaustive Events 133 -- Section 4 Some Laws of Probability 137 -- The Law of Addition 137 -- The Law of Multiplication 139 -- Chapter 5 Probability Distributions 146 -- Section 1 Random Variables 148 -- Section 2 The Binomial Probability Distribution 155 -- Section 3 The Poisson Probability Distribution 165 -- Section 4 The Normal Probability Distribution 171 -- Section 5 Approximating the Binomial Distribution 183 -- Using the Normal Approximation 183 -- Using the Poisson Approximation 186 -- Chapter 6 Sampling Distributions and Sampling 196 -- Section 1 The Sampling Distribution of the Mean 198 -- Section 2 The Sampling Distribution of the Proportion 207 -- Section 3 The Finite Population Correction Factor 209 -- Section 4 Types of Samples 212 -- Convenience Samples 212 -- Judgment Samples 213 -- Simple Random Samples 213 -- Systematic Random Samples 214 -- Stratified Random Samples 216 -- Cluster Samples 217 -- Chapter 7 Estimation 222 -- Section 1 Point Estimates 224 -- Unbiased Estimators 224 -- Consistent Estimators 225 -- Section 2 Confidence Intervals 229 -- Large Samples 232 -- Small Samples 236 -- Section 3 Determination of Sample Size 241 -- Sample Sizes for Estimating an Average 244 -- Sample Sizes for Estimating a Proportion 246 -- A Poll on Health Care 247 -- Section 4 Using the Computer to Estimate 250 -- Making Large-Sample Estimates by Computer 250 -- Getting a Samll-Sample Confidence Interval by Computer 252 -- Chapter 8 Hypothesis Testing and Decision Making Using Means 260 -- Section 1 The Nature of Hypothesis Testing 262 -- Section 2 Tests About Single Means 266 -- Large Samples 266 -- Small Samples 271 -- Section 3 Comparison of Means from Independent Samples 275 -- Large Samples 276 -- Small Samples 277 -- Section 4 Inference, Decision Making, and Statistical Process Control 284 -- Section 5 Computers and p Values 290 -- Large Samples 290 -- Small Samples 292 -- Chapter 9 Hypothesis Testing and Decision Making for Categorical Data 300 -- Section 1 Tests of Single Proportions 302 -- Section 2 General Analysis of Proportions, Counts, and Chi-Square 308 -- Comparing Two Proportions 309 -- Testing for Several Proportions 311 -- Section 3 Goodness-of-Fit Tests 316 -- Section 4 Contingency Table Analysis Using Chi-Square 319 -- Section 5 Using the Computer to Solve Chi-Square Problems 323 -- Using Excel 323 -- Using Minitab 324 -- Chapter 10 Regression and Correlation 330 -- Section 1 Scatterplots 332 -- Association and Causation 333 -- Errors in Specification, Errors in Measurement, and Sampling Error 335 -- Section 2 Simple Linear Regression 342 -- Section 3 The Standard Error of Estimate 354 -- Section 4 Coefficients of Correlation and Determination 357 -- Section 5 Forecasting with Simple Regression Models 366 -- The Uses and Limitations of Predictions Based on Models 367 -- Prediction Intervals 367 -- Confidence Intervals 369 -- Section 6 Assessing the Significance of Slope Estimates 374 -- Two-Tailed Tests 374 -- One-Tailed Tests 375 -- Confidence Intervals for Slope Estimates 376 -- Section 7 Using the Computer for Regression Analysis 380 -- Using Excel for Regression Analysis 380 -- Using Minitab for Simple Linear Regression 381 -- Chapter 11 Multiple Regression and Time Series Analysis 394 -- Section 1 The Mathematical Structure of Multiple Regression 396 -- Section 2 Calculating and Interpreting Multiple Regression Equations 397 -- Using Excel 398 -- Using Minitab 400 -- Section 3 Improving the Regression Model 405 -- A Variable Selection Criterion: Adjusted r[superscript 2] 405 -- Indicator Variables 407 -- Section 4 Residual Analysis: Spotting Potential Problems 408 -- Looking for Linearity 409 -- Looking for Homoscedasticity 410 -- Looking for Normality 410 -- Looking for Serial Correlation 411 -- Quick Fixes for Regression Problems 412 -- Section 5 Multicollinearity 412 -- Section 6 Forecasting with a Multiple Regression Model 413 -- Section 7 Time Series Analysis 417 -- Components of the Classical Time Series Model 417 -- Forecasting with Smoothing Techniques 419 -- Comparing Forecasting Methods 422 -- Adjusting for Seasonal Data 423 -- Forecasting Using Trend and Seasonal Factors 426.
650		0	_aCommercial statistics.
650		0	_aStatistics.
942			_cBK