Statistics for Business and Economics (13th Edition) - 13th Edition - by James T. McClave, P. George Benson, Terry Sincich - ISBN 9780134506593
Buy this textbookBuy

Statistics for Business and Economics (...
13th Edition
James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
ISBN: 9780134506593

Solutions for Statistics for Business and Economics (13th Edition)

Browse All Chapters of This Textbook

Chapter 2.10 - Distorting The Truth With Descriptive TechniquesChapter 3 - ProbabilityChapter 3.1 - Events, Sample Spaces, And ProbabilityChapter 3.4 - The Additive Rule And Mutually Exclusive EventsChapter 3.6 - The Multiplicative Rule And Independent EventsChapter 3.7 - Bayes's RuleChapter 4 - Random Variables And Probability DistributionsChapter 4.1 - Two Types Of Random VariablesChapter 4.2 - Probability Distributions For Discrete Random VariablesChapter 4.3 - The Binomial DistributionChapter 4.4 - Other Discrete Distributions: Poisson And HypergeometricChapter 4.6 - The Normal DistributionChapter 4.7 - Descriptive Methods For Assessing NormalityChapter 4.8 - Other Continuous Distributions: Uniform And ExponentialChapter 5 - Sampling DistributionsChapter 5.1 - The Concept Of A Sampling DistributionChapter 5.2 - Properties Of Sampling Distributions: Unbiasedness And Minimum VarianceChapter 5.3 - The Sampling Distribution Of The Sample Mean And The Central Limit TheoremChapter 5.4 - The Sampling Distribution Of The Sample ProportionChapter 6 - Inferences Based On A Single Sample: Estimation With Confidence IntervalsChapter 6.2 - Confidence Interval For A Population Mean: Normal (z) StatisticChapter 6.3 - Confidence Interval For A Population Mean: Student's T-statisticChapter 6.4 - Large-Sample Confidence Interval For A Population ProportionChapter 6.5 - Determining The Sample SizeChapter 6.6 - Finite Population Correction For Simple Random Sampling (Optional)Chapter 6.7 - Confidence Interval For A Population VarianceChapter 7 - Inferences Based On A Single Sample: Tests Of HypothesesChapter 7.2 - Formulating Hypotheses And Setting Up The Rejection RegionChapter 7.3 - Observed Significance Levels: P-valuesChapter 7.4 - Test Of Hypothesis About A Population Mean: Normal (z) StatisticChapter 7.5 - Test Of Hypothesis About A Population Mean: Student's T-statisticChapter 7.6 - Large-Sample Test Of Hypothesis About A Population ProportionChapter 7.7 - Test Of Hypothesis About A Population VarianceChapter 7.8 - Calculating Type Ii Error Probabilities: More About 13 (Optional)Chapter 8 - Inferences Based On Two Samples: Confidence Intervals And Tests Of HypothesesChapter 8.2 - Comparing Two Population Means: Independent SamplingChapter 8.3 - Comparing Two Population Means: Paired Difference ExperimentsChapter 8.4 - Comparing Two Population Proportions: Independent SamplingChapter 8.5 - Determining The Required Sample SizeChapter 8.6 - Comparing Two Population Variances: Independent SamplingChapter 9 - Design Of Experiments And Analysis Of VarianceChapter 9.1 - Elements Of A Designed ExperimentChapter 9.2 - The Completely Randomized Design: Single FactorChapter 9.3 - Multiple Comparisons Of MeansChapter 9.4 - The Randomized Block DesignChapter 9.5 - Factorial Experiments: Two FactorsChapter 10 - Categorical Data Analysis 57 5 o&~Chapter 10.2 - Testing Category Probabilities: One-way TableChapter 10.3 - Testing Category Probabilities: Two-way (Contingency) TableChapter 11 - Simple Linear Regression 616"'Chapter 11.1 - Probabilistic ModelsChapter 11.2 - Fitting The Model: The Least Squares ApproachChapter 11.3 - Model AssumptionsChapter 11.4 - Assessing The Utility Of The Model: Making Inferences About The SlopeChapter 11.5 - The Coefficients Of Correlation And DeterminationChapter 11.6 - Using The Model For Estimation And PredictionChapter 11.7 - A Complete ExampleChapter 12 - Multiple Regression And Model BuildingChapter 12.3 - Evaluating Overall Model UtilityChapter 12.4 - Using The Model For Estimation And PredictionChapter 12.5 - Interaction ModelsChapter 12.6 - Quadratic And Other Higher-Order ModelsChapter 12.7 - Qualitative (Dummy) Variable ModelsChapter 12.8 - Models With Both Quantitative And Qualitative VariablesChapter 12.9 - Comparing Nested ModelsChapter 12.10 - Stepwise RegressionChapter 12.12 - Some Pitfalls: Estimability, Multicollinearity, And ExtrapolationChapter 13 - Methods For Quality Improvement: Statistical Process Control (Available Online)Chapter 13.4 - A Control Chart For Monitoring The Mean Of A Process: Ths~x -ChartChapter 13.5 - A Control Chart For Monitoring The Variation Of A Process: The R-ChartChapter 13.6 - A Control Chart For Monitoring The Proportion Of Defectives Generated By A Process: The p-ChartChapter 13.7 - Diagnosing The Causes Of VariationChapter 14 - Time Series: Descriptive Analyses, Models, And Forecasting (Available Online)Chapter 14.1 - Descriptive Analysis: Index NumbersChapter 14.2 - Descriptive Analysis: Exponential SmoothingChapter 14.5 - Forecasting Trends: Holt's MethodChapter 14.6 - Measuring Forecast Accuracy: Mad And RmseChapter 14.8 - Seasonal Regression ModelsChapter 14.9 - Autocorrelation And The Durbin-Watson TestChapter 15 - Nonparametric Statistics (Available Online)Chapter 15.2 - Single Population InferencesChapter 15.3 - Comparing Two Populations: Independent SamplesChapter 15.4 - Comparing Two Populations: Paired Difference ExperimentChapter 15.5 - Comparing Three Or More Populations: Completely Randomized DesignChapter 15.6 - Comparing Three Or More Populations: Randomized Block DesignChapter 15.7 - Rank Correlation

Book Details

For courses in Introductory Business Statistics.Real Data. Real Decisions. Real Business. Now in its Thirteenth Edition,  Statistics for Business and Economics  introduces statistics in the context of contemporary business. Emphasizing statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning while emphasizing intuitive concepts of probability and teaching readers to make informed business decisions. The Thirteenth Edition continues to highlight the importance of ethical behavior in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.

Sample Solutions for this Textbook

We offer sample solutions for Statistics for Business and Economics (13th Edition) homework problems. See examples below:

More Editions of This Book

Corresponding editions of this textbook are also available below:

Statistics For Business And Economics
2nd Edition
ISBN: 9781269198387
STATISTICS F/BUS.+ECON-W/ACCESS>CUSTOM<
18th Edition
ISBN: 9781323751503
MyLab Statistics for Business Stats with Pearson eText -- Standalone Access Card -- for Statistics for Business and Economics
13th Edition
ISBN: 9780134748610
EP STATISTICS F/BUS.+ECON.-ACCESS 18 WK
13th Edition
ISBN: 9780135960912
STATISTICS F/BUS.+ECON.-ACCESS(24WKS.)
13th Edition
ISBN: 9780134596839
Statistics for Business and Economics, Student Value Edition (13th Edition)
13th Edition
ISBN: 9780134456997
Statistics for Business and Economics (12th Edition)
12th Edition
ISBN: 9780321826237