Statistics for Business & Economics12th EditionDavid R. Anderson Publisher: Cengage Learning USISBN: 9781285528830
Statistics for Business & Economics
Solutions for Statistics for Business & Economics
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Browse All Chapters of This Textbook
Chapter 1 - Data And StatisticsChapter 2 - Descriptive Statistics: Tabular And Graphical DisplaysChapter 2.1 - Summarizing Data For A Categorical VariableChapter 2.2 - Summarizing Data For A Quantitative VariableChapter 2.3 - Summarizing Data For Two Variables Using TablesChapter 2.4 - Summarizing Data For Two Variables Using Graphical DisplaysChapter 3 - Descriptive Statistics: Numerical MeasuresChapter 3.1 - Measures Of LocationChapter 3.2 - Measures Of VariabilityChapter 3.3 - Measures Of Distribution Shape, Relative Location, And Detecting Outliers
Chapter 3.4 - Five-number Summaries And Box PlotsChapter 3.5 - Measures Of Association Between Two VariablesChapter 4 - Introduction To ProbabilityChapter 4.1 - Experiments, Counting Rules, And Assigning ProbabilitiesChapter 4.2 - Events And Their ProbabilitiesChapter 4.3 - Some Basic Relationships Of ProbabilityChapter 4.4 - Conditional ProbabilityChapter 4.5 - Bayes’ TheoremChapter 5 - Discrete Probability DistributionsChapter 5.1 - Random VariablesChapter 5.2 - Developing Discrete Probability DistributionsChapter 5.3 - Expected Value And VarianceChapter 5.4 - Bivariate Distributions, Covariance, And Financial PortfoliosChapter 5.5 - Binomial Probability DistributionChapter 5.6 - Poisson Probability DistributionChapter 5.7 - Hypergeometric Probability DistributionChapter 6 - Continuous Probability DistributionsChapter 6.1 - Uniform Probability DistributionChapter 6.2 - Normal Probability DistributionChapter 6.3 - Normal Approximation Of Binomial ProbabilitiesChapter 6.4 - Exponential Probability DistributionChapter 7 - Sampling And Sampling DistributionsChapter 7.2 - Selecting A SampleChapter 7.3 - Point EstimationChapter 7.5 - Sampling Distribution Of X BarChapter 7.6 - Sampling Distribution Of P BarChapter 8 - Interval EstimationChapter 8.1 - Population Mean: S KnownChapter 8.2 - Population Mean: S UnknownChapter 8.3 - Determining The Sample SizeChapter 8.4 - Population ProportionChapter 9 - Hypothesis TestsChapter 9.1 - Developing Null And Alternative HypothesesChapter 9.2 - Type I And Type Ii ErrorsChapter 9.3 - Population Mean: S KnownChapter 9.4 - Population Mean: S UnknownChapter 9.5 - Population ProportionChapter 9.7 - Calculating The Probability Of Type Ii ErrorsChapter 9.8 - Determining The Sample Size For A Hypothesis Test About A Population MeanChapter 10 - Inference About Means And Proportions With Two PopulationsChapter 10.1 - Inferences About The Difference Between Two Population Means:s1 And S2 KnownChapter 10.2 - Inferences About The Difference Between Two Population Means: S1 And S2 UnknownChapter 10.3 - Inferences About The Difference Between Two Population Means: Matched SamplesChapter 10.4 - Inferences About The Difference Between Two Population ProportionsChapter 11 - Inferences About Population VariancesChapter 11.1 - Inferences About A Population VarianceChapter 11.2 - Inferences About Two Population VariancesChapter 12 - Comparing Multiple Proportions, Test Of Independence And Goodness Of FitChapter 12.1 - Testing The Equality Of Population Proportions For Three Or More PopulationsChapter 12.2 - Test Of IndependenceChapter 12.3 - Goodness Of Fit TestChapter 13 - Experimental Design And Analysis Of VarianceChapter 13.2 - Analysis Of Variance And The Completely Randomized DesignChapter 13.3 - Multiple Comparison ProceduresChapter 13.4 - Randomized Block DesignChapter 13.5 - Factorial ExperimentChapter 14 - Simple Linear RegressionChapter 14.2 - Least Squares MethodChapter 14.3 - Coefficient Of DeterminationChapter 14.5 - Testing For SignificanceChapter 14.6 - Using The Estimated Regression Equation For Estimation And PredictionChapter 14.7 - Computer SolutionChapter 14.8 - Residual Analysis: Validating Model AssumptionsChapter 14.9 - Residual Analysis: Outliers And Influential ObservationsChapter 15 - Multiple RegressionChapter 15.2 - Least Squares MethodChapter 15.3 - Multiple Coefficient Of DeterminationChapter 15.5 - Testing For SignificanceChapter 15.6 - Using The Estimated Regression Equation For Estimation And PredictionChapter 15.7 - Categorical Independent VariablesChapter 15.8 - Residual AnalysisChapter 15.9 - Logistic RegressionChapter 16 - Regression Analysis: Model BuildingChapter 16.1 - General Linear ModelChapter 16.2 - Determining When To Add Or Delete VariablesChapter 16.4 - Variable Selection ProceduresChapter 16.5 - Multiple Regression Approach To Experimental DesignChapter 16.6 - Autocorrelation And The Durbin-watson TestChapter 17 - Time Series Analysis And ForecastingChapter 17.2 - Forecast AccuracyChapter 17.3 - Moving Averages And Exponential SmoothingChapter 17.4 - Trend ProjectionChapter 17.5 - Seasonality And TrendChapter 17.6 - Time Series DecompositionChapter 18 - Nonparametric MethodsChapter 18.1 - Sign TestChapter 18.2 - Wilcoxon Signed-rank TestChapter 18.3 - Mann-whitney-wilcoxon TestChapter 18.4 - Kruskal-wallis TestChapter 18.5 - Rank CorrelationChapter 19 - Statistical Methods For Quality ControlChapter 19.2 - Statistical Process ControlChapter 19.3 - Acceptance SamplingChapter 20 - Index NumbersChapter 20.2 - Aggregate Price IndexesChapter 20.3 - Computing An Aggregate Price Index From Price RelativesChapter 20.5 - Deflating A Series By Price IndexesChapter 20.7 - Quantity IndexesChapter 21 - Decision Analysis (on Website)Chapter 21.2 - Decision Making With ProbabilitiesChapter 21.3 - Decision Analysis With Sample InformationChapter 21.4 - Computing Branch Probabilities Using Bayes’ TheoremChapter 22 - Sample Survey (on Website)Chapter 22.4 - Simple Random SamplingChapter 22.5 - Stratified Simple Random SamplingChapter 22.6 - Cluster Sampling
Sample Solutions for this Textbook
We offer sample solutions for Statistics for Business & Economics homework problems. See examples below:
Chapter 1, Problem 1SEChapter 2.1, Problem 9EChapter 2.2, Problem 21EChapter 2, Problem 44SEChapter 2, Problem 52SECalculation: The given information is a sample data comparing the back-to-school expenditures for 25...Chapter 3.3, Problem 37EChapter 3, Problem 62SEChapter 3, Problem 3CP
Chapter 4, Problem 46SEChapter 4, Problem 60SEChapter 5.3, Problem 18EChapter 5.5, Problem 33EChapter 5, Problem 59SEChapter 5, Problem 62SEChapter 6.2, Problem 12EChapter 6, Problem 39SEChapter 6, Problem 1CPChapter 7.5, Problem 26EChapter 7.6, Problem 34EChapter 7, Problem 42SEChapter 7, Problem 47SEChapter 8.2, Problem 11EChapter 8.4, Problem 43EChapter 8, Problem 44SEChapter 8, Problem 55SEChapter 8, Problem 2CPChapter 9.3, Problem 12EChapter 9.5, Problem 36EChapter 9, Problem 60SEChapter 9, Problem 2CPChapter 10.2, Problem 9EChapter 10.4, Problem 36EChapter 10, Problem 38SECalculation: It is given that the bullish sentiment of individual investors for the week end was...Chapter 11.1, Problem 2EChapter 11, Problem 23SEChapter 11, Problem 30SEChapter 12.2, Problem 14EChapter 12, Problem 27SEChapter 13.2, Problem 1EChapter 13, Problem 34SEChapter 13, Problem 2CPChapter 14.2, Problem 1EChapter 14, Problem 55SEChapter 14, Problem 1CPCalculation: The Major League Baseball (MLB) data for the season 2011consists of the average number...Chapter 15, Problem 49EChapter 15, Problem 56SEChapter 16, Problem 29SEChapter 17.3, Problem 9ECalculation: The given data represents time series data. The equations for Holt’s linear exponential...Chapter 17, Problem 41SEChapter 17, Problem 1CPChapter 18, Problem 38SEChapter 18, Problem 39SEChapter 19, Problem 16SECalculation: An acceptance sampling plan with n=15 and c=1 is given. The producer’s risk is 0.75....Chapter 20, Problem 17SEChapter 20, Problem 21SEChapter 21, Problem 18SEChapter 22, Problem 18SE
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