Solutions for Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
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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 - Exponential Probability DistributionChapter 7 - Sampling And Sampling DistributionsChapter 7.2 - Selecting A SampleChapter 7.3 - Point EstimationChapter 7.5 - Sampling Distribution Of XbarChapter 7.6 - Sampling Distribution Of PbarChapter 7.8 - Practical Advice: Big Data And Errors In SamplingChapter 8 - Interval EstimationChapter 8.1 - Population Mean: S KnownChapter 8.2 - Population Mean: S KnownChapter 8.3 - Determining The Sample SizeChapter 8.4 - Population ProportionChapter 8.5 - Practical Advice: Big Data And Interval EstimationChapter 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 KnownChapter 9.5 - Population ProportionChapter 9.6 - Practical Advice: Big Data And Hypothesis TestingChapter 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 - Tests Of Goodness Of Fit, Independence, And Multiple ProportionsChapter 12.1 - Goodness Of Fit TestChapter 12.2 - Test Of IndependenceChapter 12.3 - Testing For Equality Of Three Or More Population ProportionsChapter 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 - Excel’s Regression ToolChapter 14.8 - Residual Analysis: Validating Model AssumptionsChapter 14.9 - 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 16 - Regression Analysis: Model BuildingChapter 16.1 - General Linear ModelChapter 16.2 - Determining When To Add Or Delete VariablesChapter 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 - Decision Analysis (online)Chapter 20.2 - Decision Making With ProbabilitiesChapter 20.3 - Decision Analysis With Sample InformationChapter 20.4 - Computing Branch Probabilities Using Bayes’ TheoremChapter 21 - Sample Survey (on Online)Chapter 21.4 - Simple Random SamplingChapter 21.5 - Stratified Simple Random SamplingChapter 21.6 - Cluster Sampling
Book Details
Provide a balanced, conceptual understanding of statistics as MODERN BUSINESS STATISTICS, 6E focuses on real applications and Microsoft Excel 2016. This best-selling, comprehensive leader develops each statistical technique in an application setting with integrated Microsoft Excel 2016 instruction. Content focuses on statistical methodology as each presentation of a statistical procedure is followed by a discussion of how to use Excel to perform the procedure. Step-by-step instructions and screen captures ensure understanding. Business examples and application exercises demonstrate how statistical results provide insights into business decisions and problems. High-quality problems, noted for unwavering accuracy, and a signature problem-scenario approach apply statistical methods to business situations. New case problems and self-tests check reader understanding, while comprehensive support with MindTap and CengageNOW reinforce an understanding of business statistics.
Sample Solutions for this Textbook
We offer sample solutions for Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List) homework problems. See examples below:
Chapter 1, Problem 1SEChapter 1, Problem 25SECalculation: The fields of studies in which a bachelor’s degrees and a master’s degree are provided,...Chapter 2.2, Problem 21EChapter 2, Problem 44SEChapter 2, Problem 3CPChapter 3.1, Problem 8EChapter 3.1, Problem 20EChapter 3.2, Problem 32E
Chapter 3.3, Problem 37EChapter 3, Problem 62SEChapter 3, Problem 2CPChapter 4, Problem 46SEChapter 4, Problem 60SEChapter 5.3, Problem 18EChapter 5.5, Problem 33EChapter 5, Problem 59SEChapter 5, Problem 62SEChapter 6.2, Problem 15EChapter 6, Problem 33SEChapter 7.5, Problem 22EChapter 7.6, Problem 30EChapter 7, Problem 42SECalculation: The given information is that sample of 50 items from its inventory is taken. Firm A’s...Chapter 8.2, Problem 11EChapter 8.4, Problem 37EChapter 8, Problem 48SEChapter 8, Problem 63SEChapter 8, Problem 2CPCalculation: It is given that the sample size is n=75, the sample mean is x¯=23, and the population...Calculation: The given information is the sample size is n=65, the sample mean is x¯=103, and the...Calculation: The given information is that n=300 and p¯=0.68. The hypotheses are given below: Null...Chapter 9, Problem 50SEChapter 9, Problem 2CPChapter 10.2, Problem 17EChapter 10.4, Problem 36ECalculation: The results of the tests on customer checkout times at system A and system B are as...Chapter 10, Problem 43SEChapter 11.1, Problem 2ECalculation: The given information is that the sample variance for first sample is s12=8.2, the...Chapter 11, Problem 23SECalculation: It is given that the sample standard deviation is 8. The 95% confidence interval for...Chapter 12.2, Problem 12EChapter 12, Problem 25SEChapter 12, Problem 1CPChapter 13.2, Problem 1EChapter 13, Problem 34SEChapter 13, Problem 2CPChapter 14.2, Problem 11EChapter 14, Problem 55SEChapter 14, Problem 58SEChapter 15.2, Problem 9EChapter 15, Problem 44SEChapter 15, Problem 2CPChapter 16, Problem 26SEChapter 17.3, Problem 9EChapter 17.4, Problem 25EChapter 17, Problem 41SEChapter 17, Problem 1CPChapter 18, Problem 38SECalculation: The given information is that the national median sales price for single family home is...Calculation: The means for 20 samples of a production process are provided. The estimate of the mean...Calculation: There are a total of seven mutual funds. The table provides percentage annual return...Calculation: In a nationwide poll, 19% out of 363 adults who have seen the ads M, liked the ads a...
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