عنوان

Statistics for business descision making and analysis

شابک

1292023392

شابک

9781292023397

شماره

b568345

عنوان اصلي

Statistics for business descision making and analysis

نام عام مواد

[Book]

نام نخستين پديدآور

Robert Stine, Dean Foster

وضعيت ويراست

Pearsons new international edition, 2. edition

محل نشرو پخش و غیره

Harlow

نام ناشر، پخش کننده و غيره

Pearson

تاریخ نشرو بخش و غیره

2014

نام خاص و کميت اثر

ii, 938 p. + 1 CD-ROM

عنوان فروست

Always learning

متن يادداشت

PrefaceIndex of Application PART ONE: VARIATION 1. Introduction1.1 What Is Statistics?1.2 Previews 2. Data2.1 Data Tables2.2 Categorical and Numerical Data2.3 Recoding and Aggregation2.4 Time Series2.5 Further Attributes of Data Chapter Summary 3. Describing Categorical Data3.1 Looking at Data3.2 Charts of Categorical Data3.3 The Area Principle3.4 Mode and Median Chapter Summary 4. Describing Numerical Data4.1 Summaries of Numerical Variables4.2 Histograms4.3 Boxplot4.4 Shape of a Distribution4.5 Epilog Chapter Summary 5. Association between Categorical Variables5.1 Contingency Tables5.2 Lurking Variables and Simpson's Paradox5.3 Strength of Association Chapter Summary 6. Association between Quantitative Variables6.1 Scatterplots6.2 Association in Scatterplots6.3 Measuring Association6.4 Summarizing Association with a Line6.5 Spurious Correlation Chapter Summary Statistics in Action: Financial Time Series Statistics in Action: Executive Compensation PART TWO: PROBABILITY 7. Probability7.1 From Data to Probability7.2 Rules for Probability7.3 Independent Events Chapter Summary 8. Conditional Probability8.1 From Tables to Probabilities8.2 Dependent Events8.3 O rganizing Probabilities8.4 O rder in Conditional Probabilities Chapter Summary 9. Random Variables9.1 Random Variables9.2 Properties of Random Variables9.3 Properties of Expected Values9.4 Comparing Random Variables Chapter Summary 10. Association between Random Variables10.1 Portfolios and Random Variables10.2 Joint Probability Distribution10.3 Sums of Random Variables10.4 Dependence between Random Variables10.5 IID Random Variables10.6 Weighted Sums Chapter Summary 11. Probability Models for Counts11.1 Random Variables for Counts11.2 Binomial Model11.3 Properties of Binomial Random Variables11.4 Poisson Model Chapter Summary 12. The Normal Probability Model12.1 Normal Random Variable12.2 The Normal Model12.3 Percentiles12.4 Departures from Normality Chapter Summary Statistics in Action: Managing Financial Risk Statistics in Action: Modeling Sampling Variation PART THREE: INFERENCE 13. Samples and Surveys13.1 Two Surprising Properties of Samples13.2 Variation13.3 Alternative Sampling Methods13.4 Questions to Ask Chapter Summary 14. Sampling Variation and Quality14.1 Sampling Distribution of the Mean14.2 Control Limits14.3 Using a Control Chart14.4 Control Charts for Variation Chapter Summary 15. Confidence Intervals15.1 Ranges for Parameters15.2 Confidence Interval for the Mean15.3 Interpreting Confidence Intervals15.4 Manipulating Confidence Intervals15.5 Margin of Error Chapter Summary 16. Statistical Tests16.1 Concepts of Statistical Tests16.2 Testing the Proportion16.3 Testing the Mean16.4 Significance versus Importance16.5 Confidence Interval or Test? Chapter Summary 17. Comparison17.1 Data for Comparisons17.2 Two-Sample z-test for Proportions17.3 Two-Sample Confidence Interval for Proportions17.4 Two-Sample T-test17.5 Confidence Interval for the Difference between Means17.6 Paired Comparisons Chapter Summary 18. Inference for Counts18.1 Chi-Squared Tests18.2 Test of Independence18.3 General versus Specific Hypotheses18.4 Tests of Goodness of Fit Chapter Summary Statistics in Action: Rare Events Statistics in Action: Data Mining Using Chi-Squared PART FOUR: REGRESSION MODELS 19. Linear Patterns19.1 Fitting a Line to Data19.2 Interpreting the Fitted Line19.3 Properties of Residuals19.4 Explaining Variation19.5 Conditions for Simple Regression Chapter Summary 20. Curved Patterns20.1 Detecting Nonlinear Patterns20.2 Transformations20.3 Reciprocal Transformation20.4 Logarithm Transformation Chapter Summary 21. The Simple Regression Model21.1 The Simple Regression Model21.2 Conditions for the SRM21.3 Inference in Regression21.4 Prediction Intervals Chapter Summary 22. Regression Diagnostics22.1 Changing Variation22.2 Outliers22.3 Dependent Errors and Time Series Chapter Summary 23. Multiple Regression23.1 The Multiple Regression Model23.2 Interpreting Multiple Regression23.3 Checking Conditions23.4 Inference in Multiple Regression23.5 Steps in Fitting a Multiple Regression Chapter Summary 24. Building Regression Models24.1 Identifying Explanatory Variables24.2 Collinearity24.3 Removing Explanatory Variables Chapter Summary 25. Categorical Explanatory Variables25.1 Two-Sample Comparisons25.2 Analysis of Covariance25.3 Checking Conditions25.4 Interactions and Inference25.5 Regression with Several Groups Chapter Summary 26. Analysis of Variance26.1 Comparing Several Groups26.2 Inference in ANOVA Regression Models26.3 Multiple Comparisons26.4 Groups of Different Size Chapter Summary 27. Time Series27.1 Decomposing a Time Series27.2 Regression Models27.3 Checking the Model Chapter Summary Statistics in Action: Analyzing Experiments Statistics in Action: Automated Modeling Appendix: TablesAnswersPhoto AcknowledgmentsIndex Supplementary Material (online-only)Alternative Approaches to InferenceMore Regression2-Way ANOVA

موضوع مستند نشده

Commercial statistics

موضوع مستند نشده

Commercial statistics.

مستند نام اشخاص تاييد نشده

Robert Stine, Dean Foster

مستند نام اشخاص تاييد نشده

Dean Foster

مستند نام اشخاص تاييد نشده

Robert Stine

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y