Statistics for business and economics. (©2013)

• Record Type: Book
• Further Information: Note: Paul Newbold, William L. Carlson, Betty M. Thorne.
• Other Names: Newbold, Paul; Carlson, William L (William Lee), 1938-; Thorne, Betty
• Contents: Cover -- Contents -- Preface -- Data File Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- M -- N -- O -- P -- Q -- R -- S -- T -- V -- W -- CHAPTER 1 Using Graphs to Describe Data -- 1.1 Decision Making in an Uncertain Environment -- Random and Systematic Sampling -- Sampling and Nonsampling Errors -- 1.2 Classification of Variables -- Categorical and Numerical Variables -- Measurement Levels -- 1.3 Graphs to Describe Categorical Variables -- Tables and Charts -- Cross Tables -- Pie Charts -- Pareto Diagrams -- 1.4 Graphs to Describe Time-Series Data -- 1.5 Graphs to Describe Numerical Variables -- Frequency Distributions -- Histograms and Ogives -- Shape of a Distribution -- Stem-and-Leaf Displays -- Scatter Plots -- 1.6 Data Presentation Errors -- Misleading Histograms -- Misleading Time-Series Plots -- CHAPTER 2 Using Numerical Measures to Describe Data -- 2.1 Measures of Central Tendency and Location -- Mean, Median, and Mode -- Shape of a Distribution -- Geometric Mean -- Percentiles and Quartiles -- 2.2 Measures of Variability -- Range and Interquartile Range -- Box-and-Whisker Plots -- Variance and Standard Deviation -- Coefficient of Variation -- Chebyshev's Theorem and the Empirical Rule -- z-Score -- 2.3 Weighted Mean and Measures of Grouped Data -- 2.4 Measures of Relationships Between Variables -- Case Study: Mortgage Portfolio -- CHAPTER 3 Elements of Chance: Probability Methods -- 3.1 Random Experiment, Outcomes, and Events -- 3.2 Probability and Its Postulates -- Classical Probability -- Permutations and Combinations -- Relative Frequency -- Subjective Probability -- 3.3 Probability Rules -- Conditional Probability -- Statistical Independence -- 3.4 Bivariate Probabilities -- Odds -- Overinvolvement Ratios -- 3.5 Bayes' Theorem -- Subjective Probabilities in Management Decision Making. CHAPTER 4 Discrete Probability Distributions -- 4.1 Random Variables -- 4.2 Probability Distributions for Discrete Random Variables -- 4.3 Properties of Discrete Random Variables -- Expected Value of a Discrete Random Variable -- Variance of a Discrete Random Variable -- Mean and Variance of Linear Functions of a Random Variable -- 4.4 Binomial Distribution -- Developing the Binomial Distribution -- 4.5 Poisson Distribution -- Poisson Approximation to the Binomial Distribution -- Comparison of the Poisson and Binomial Distributions -- 4.6 Hypergeometric Distribution -- 4.7 Jointly Distributed Discrete Random Variables -- Conditional Mean and Variance -- Computer Applications -- Linear Functions of Random Variables -- Covariance -- Correlation -- Portfolio Analysis -- CHAPTER 5 Continuous Probability Distributions -- 5.1 Continuous Random Variables -- The Uniform Distribution -- 5.2 Expectations for Continuous Random Variables -- 5.3 The Normal Distribution -- Normal Probability Plots -- 5.4 Normal Distribution Approximation for Binomial Distribution -- Proportion Random Variable -- 5.5 The Exponential Distribution -- 5.6 Jointly Distributed Continuous Random Variables -- Linear Combinations of Random Variables -- Financial Investment Portfolios -- Cautions Concerning Finance Models -- CHAPTER 6 Distributions of Sample Statistics -- 6.1 Sampling from a Population -- Development of a Sampling Distribution -- 6.2 Sampling Distributions of Sample Means -- Central Limit Theorem -- Monte Carlo Simulations: Central Limit Theorem -- Acceptance Intervals -- 6.3 Sampling Distributions of Sample Proportions -- 6.4 Sampling Distributions of Sample Variances -- CHAPTER 7 Confidence Interval Estimation: One Population -- 7.1 Properties of Point Estimators -- Unbiased -- Most Efficient. 7.2 Confidence Interval Estimation for the Mean of a Normal Distribution: Population Variance Known -- Intervals Based on the Normal Distribution -- Reducing Margin of Error -- 7.3 Confidence Interval Estimation for the Mean of a Normal Distribution: Population Variance Unknown -- Student's t Distribution -- Intervals Based on the Student's t Distribution -- 7.4 Confidence Interval Estimation for Population Proportion (Large Samples) -- 7.5 Confidence Interval Estimation for the Variance of a Normal Distribution -- 7.6 Confidence Interval Estimation: Finite Populations -- Population Mean and Population Total -- Population Proportion -- 7.7 Sample-Size Determination: Large Populations -- Mean of a Normally Distributed Population, Known Population Variance -- Population Proportion -- 7.8 Sample-Size Determination: Finite Populations -- Sample Sizes for Simple Random Sampling: Estimation of the Population Mean or Total -- Sample Sizes for Simple Random Sampling: Estimation of Population Proportion -- CHAPTER 8 Confidence Interval Estimation: Further Topics -- 8.1 Confidence Interval Estimation of the Difference Between Two Normal Population Means: Dependent Samples -- 8.2 Confidence Interval Estimation of the Difference Between Two Normal Population Means: Independent Samples -- Two Means, Independent Samples, and Known Population Variances -- Two Means, Independent Samples, and Unknown Population Variances Assumed to Be Equal -- Two Means, Independent Samples, and Unknown Population Variances Not Assumed to Be Equal -- 8.3 Confidence Interval Estimation of the Difference Between Two Population Proportions (Large Samples) -- CHAPTER 9 Hypothesis Tests of a Single Population -- 9.1 Concepts of Hypothesis Testing -- 9.2 Tests of the Mean of a Normal Distribution: Population Variance Known -- p-Value -- Two-Sided Alternative Hypothesis. 9.3 Tests of the Mean of a Normal Distribution: Population Variance Unknown -- 9.4 Tests of the Population Proportion (Large Samples) -- 9.5 Assessing the Power of a Test -- Tests of the Mean of a Normal Distribution: Population Variance Known -- Power of Population Proportion Tests (Large Samples) -- 9.6 Tests of the Variance of a Normal Distribution -- CHAPTER 10 Two Population Hypothesis Tests -- 10.1 Tests of the Difference Between Two Normal Population Means: Dependent Samples -- Two Means, Matched Pairs -- 10.2 Tests of the Difference Between Two Normal Population Means: Independent Samples -- Two Means, Independent Samples, Known Population Variances -- Two Means, Independent Samples, Unknown Population Variances Assumed to Be Equal -- Two Means, Independent Samples, Unknown Population Variances Not Assumed to Be Equal -- 10.3 Tests of the Difference Between Two Population Proportions (Large Samples) -- 10.4 Tests of the Equality of the Variances Between Two Normally Distributed Populations -- 10.5 Some Comments on Hypothesis Testing -- CHAPTER 11 Two Variable Regression Analysis -- 11.1 Overview of Linear Models -- 11.2 Linear Regression Model -- 11.3 Least Squares Coefficient Estimators -- Computer Computation of Regression Coefficients -- 11.4 The Explanatory Power of a Linear Regression Equation -- Coefficient of Determination, R[sup(2)] -- 11.5 Statistical Inference: Hypothesis Tests and Confidence Intervals -- Hypothesis Test for Population Slope Coefficient Using the F Distribution -- 11.6 Prediction -- 11.7 Correlation Analysis -- Hypothesis Test for Correlation -- 11.8 Beta Measure of Financial Risk -- 11.9 Graphical Analysis -- CHAPTER 12 Multiple Variable Regression Analysis -- 12.1 The Multiple Regression Model -- Model Specification -- Model Objectives -- Model Development -- Three-Dimensional Graphing. 12.2 Estimation of Coefficients -- Least Squares Procedure -- 12.3 Explanatory Power of a Multiple Regression Equation -- 12.4 Confidence Intervals and Hypothesis Tests for Individual Regression Coefficients -- Confidence Intervals -- Tests of Hypotheses -- 12.5 Tests on Regression Coefficients -- Tests on All Coefficients -- Test on a Subset of Regression Coefficients -- Comparison of F and t Tests -- 12.6 Prediction -- 12.7 Transformations for Nonlinear Regression Models -- Quadratic Transformations -- Logarithmic Transformations -- 12.8 Dummy Variables for Regression Models -- Differences in Slope -- 12.9 Multiple Regression Analysis Application Procedure -- Model Specification -- Multiple Regression -- Effect of Dropping a Statistically Significant Variable -- Analysis of Residuals -- CHAPTER 13 Additional Topics in Regression Analysis -- 13.1 Model-Building Methodology -- Model Specification -- Coefficient Estimation -- Model Verification -- Model Interpretation and Inference -- 13.2 Dummy Variables and Experimental Design -- Experimental Design Models -- Public Sector Applications -- 13.3 Lagged Values of the Dependent Variable as Regressors -- 13.4 Specification Bias -- 13.5 Multicollinearity -- 13.6 Heteroscedasticity -- 13.7 Autocorrelated Errors -- Estimation of Regressions with Autocorrelated Errors -- Autocorrelated Errors in Models with Lagged Dependent Variables -- CHAPTER 14 Introduction to Nonparametric Statistics -- 14.1 Goodness-of-Fit Tests: Specified Probabilities -- 14.2 Goodness-of-Fit Tests: Population Parameters Unknown -- A Test for the Poisson Distribution -- A Test for the Normal Distribution -- 14.3 Contingency Tables -- 14.4 Nonparametric Tests for Paired or Matched Samples -- Sign Test for Paired or Matched Samples -- Wilcoxon Signed Rank Test for Paired or Matched Samples -- Normal Approximation to the Sign Test.
• Edition: 8th ed., Global ed
• Publisher Details: Harlow : Pearson Education
• Publication Date: 2013
• Copyright Date: 2013
• Extent: 1 online resource (792 pages), illustrations
• Subjects: 519.3; Commercial statistics; Economics -- Statistical methods; Statistics; Économie politique -- Méthodes statistiques; Commercial statistics; Economics -- Statistical methods; Statistics; Electronic books; Electronic books; Statistics; Statistics; Statistiques
• Languages: English
• ISBNs: 1299317324; 9781299317321; 9780273767084; 0273767089; 9780273767060; 0273767062
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.