by James T. McClave

In Stock

£8.49

This introduction to statistics for business and economics emphasises inference, with coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions.

Only **1** left

**For a one/two-term business statistics course.**

**Designed for students with a background in basic algebra, this best- selling introduction to statistics for business and economics emphasizes inference, with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data-both by those who consume and those who produce them-and features numerous case studies, examples, and exercises, all drawing on real business situations and recent economic events.**

Our excellent value books literally don't cost the earth

Free delivery in the UK

Read more here

Read more here

Every used book bought is one saved from landfill

The Science of Statistics. Types of Statistical Applications in Business. Fundamental Elements of Statistics. Processes (Optional). Types of Data. Statistics in Action 1.1: Quality Improvement: U.S. Firms Respond to the Challenge from Japan. Collecting Data. The Role of Statistics in Managerial Decision-Making. Statistics in Action 1.2: A

Describing Qualitative Data. Statistics in Action 2.1: Pareto Analysis. Graphical Methods for Describing Quantitative Data. Summation Notation. Numerical Measures of Central Tendency. Numerical Measures of Variability. Interpreting the Standard Deviation. Numerical Measures of Relative Standing. Methods for Detecting Outliers (Optional). Graphing Bivariate Relationships. (Optional). The Time Series Plot (Optional). Distorting the Truth with Descriptive Techniques. Statistics in Action 2.2: Car and Driver's "Road Test Digest." Real World Case: The Kentucky Milk Case, Part I. (A Case Covering Chapters 1 and 2.

Events, Sample Spaces, and Probability. Statistics in Action 3.1: Game Show Strategy: To Switch or Not to Switch? Unions and Intersections. Complementary Events. The Additive Rule and Mutually Exclusive Events. Conditional Probability. The Multiplicative Rule and Independent Events. Random Sampling. Statistics in Action 3.2: Lottery Buster.

Two Types of Random Variables. Probability Distributions for Discrete Random Variables. Expected Values of Discrete Random Variables. Statistics in Action 4.1: Portfolio Selection. The Binomial Random Variable. Statistics in Action 4.2: The Space Shuttle

Continuous Probability Distributions. The Uniform Distribution (Optional). The Normal Distribution. Statistics in Action 5.1: IQ, Economic Mobility, and the Bell Curve. Descriptive Methods for Assessing Normality. Approximating a Binomial Distribution with a Normal Distribution. The Exponential Distribution (Optional). Statistics in Action 5.2: Queueing Theory.

The Concept of Sampling Distributions. Properties of Sampling Distributions: Unbiasedness and Minimum Variance (Optional). Statistics in Action 6.1: Reducing Investment Risk through Diversification. The Central Limit Theorem. Statistics in Action 6.2: The Insomnia Pill. Real World Case: The Furniture Fire Case (A Case Covering Chapters 3-6).

Large-Sample Confidence Interval for a Population Mean. Small-Sample Confidence Interval for a Population Mean. Statistics in Action 7.1: Scallops, Sampling, and the Law. Large-Sample Confidence Interval for a Population Proportion. Determining the Sample Size. Finite Population Correction for Simple Random Sampling (Optional). Sample Survey Designs (Optional). Statistics in Action 7.2: Sampling Error Versus Nonsampling Error.

The Elements of a Test of Hypothesis. Large-Sample Test of Hypothesis about a Population Mean. Statistics in Action 8.1: Statistical Quality Control. Observed Significance Levels:

Comparing Two Population Means: Independents Sampling. Statistics in Action 9.1: The Effect of Self-Managed Work Teams on Family Life. Comparing Two Population Means: Paired Difference Experiments. Comparing Two Population Proportions: Independent Sampling. Determining the Sample Size. Statistics in Action 9.2: Unpaid Overtime and the Fair Labor Standards Act. Comparing Two Population Variances: Independent Sampling (Optional). Real World Case: The Kentucky Milk Case, Part II (A Case Covering Chapters 7-9).

Probabilistic Models. Fitting the Model: The Least Squares Approach. Model Assumptions. An Estimator of ...s2. Assessing the Utility of the Model: Making Inferences about the Slope ...b1. The Coefficient of Correlation. The Coefficient of Determination. Using the Model for Estimation and Prediction. Statistics in Action 10.1: Statistical Assessment of Damage to Bronx Bricks. Simple Linear Regression: A Complete Example. Statistics in Acton 10.2: Can "Dowsers" Really Detect Water?

Multiple Regression Models. The First-Order Model: Estimation and Interpreting the ...b-Parameters. Model Assumptions. Inferences about the ...b Parameters. Checking the Overall Utility of a Model. Statistics in Action 11.1: Prediction the Price of Vintage Red Bordeaux Wine. Using the Model for Estimation and Prediction. Using the Model for Estimation and Prediction. Model Building: Interaction Models. Model Building: Quadratic and Other Higher-Order Models. Model Building: Qualitative (Dummy) Variable Models. Model Building: Models with Both Quantitative and Qualitative Variables (Optional). Model Building: Comparing Nested Models (Optional). Model Building: Stepwise Regression (Optional). Residual Analysis: Checking the Regression Assumptions. Some Pitfalls: Estimability, Multicollinearity, and Extrapolation. Statistics in Action 11.2: "Wringing"

Quality, Processes, and Systems. Statistics in Action 12. 1: Deming's 14 Points. Statistical Control. The Logic of Control Charts. A Control Chart for Monitoring the Mean of a Process: The x-Chart. A Control Chart for Monitoring the Variation of a Process: The

Descriptive Analysis: Index Numbers. Statistics in Action 13.1: The Consumer Price Index: CPI-U and CPI-W. Descriptive Analysis: Exponential Smoothing. Time Series Components. Forecasting: Exponential Smoothing. Forecasting Trends: The Holt-Winters Forecasting Model (Optional). Measuring Forecast Accuracy: MAD and RMSE. Forecasting Trends: Simple Linear Regression. Seasonal Regression Models. Statistics in Action 13.2: Forecasting the Demand for Emergency Room Services. Autocorrelation and the Durbin-Watson Test. Real World Case: The Gasket Manufacturing Case (A Case Covering Chapters 12 and 13).

Elements of a Designed Experiment. The Completely Randomized Design: Single Factor. Multiple Comparisons of Means. Statistics in Action 14.1: Is Therapy the New Diet Pill for Binge Eaters? Factorial Experiments. Statistics in Action 14.2: On the Trail of the Cockroach. Using Regression Analysis for ANOVA (Optional).

Introduction: Distribution-Free Tests. Single Population Inferences: The Sign Test. Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples. Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment. Statistics in Action 15.1: Reanalyzing the Scallop Weight Data. The Kruskal-Wallis

Categorical Data and the Multinomial Experiment. Testing Category Probabilities: One-Way Table. Testing Category Probabilities: Two-Way (Contingency) Table. Statistics in Action 16.1: Ethics in Computer Technology and Use. A Word of Caution about Chi-Square Tests. Real World Case: Discrimination in the Workplace (A Case Covering Chapters 14-16).

Basic Counting Rules. Tables. Calculation Formulas for Analysis of Variance.

GOR005007349

Statistics for Business and Economics: United States Edition by James T. McClave

James T. McClave

Used - Very Good

Hardback

Pearson Education (US)

2000-08-09

1028

0130272930

9780130272935

N/A

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.