Essentials of Modern Business Statistic...7th EditionDavid R. Anderson, Dennis J. Sweeney, Thomas A. Williams Publisher: South-Western College PubISBN: 9781337298353
Essentials of Modern Business Statistic...
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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 Outlier
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 X_(bar)Chapter 7.6 - Sampling Distribution Of P_(bar)Chapter 7.8 - Practical Advice: Big Data And Errors In SamplingChapter 8 - Interval EstimationChapter 8.1 - Population Mean: Sigma KnownChapter 8.2 - Population Mean: Sigma UnknownChapter 8.3 - Determining The Sample SizeChapter 8.5 - Practical Advice: Big Data And Interval EstimationChapter 9 - Hypothesis TestsChapter 9.2 - Type I And Type Ii ErrorsChapter 9.3 - Population Mean: Sigma KnownChapter 9.4 - Population Mean: Sigma UnknownChapter 9.5 - Population ProportionChapter 9.6 - Practical Advice: Big Data And Hypothesis TestingChapter 10.2 - Inferences About The Difference Between Two Population Means: SigmChapter 11 - Inferences About Population VariancesChapter 12 - Tests Of Goodness Of Fit, Independence, And Multiple ProportionChapter 12.1 - Goodness Of Fit TestChapter 12.3 - Testing For Equality Of Three Or More Population ProportionsChapter 13.2 - Analysis Of Variance And The Completely Randomized DesignChapter 14.8 - Residual Analysis: Validating Model AssumptionsChapter 15 - Multiple RegressionChapter 15.2 - Least Squares MethodChapter 15.3 - Multiple Coefficient Of DeterminationChapter 15.7 - Categorical Independent Variables
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Chapter 1, Problem 1SEChapter 2, Problem 44SEChapter 3, Problem 62SEChapter 4, Problem 46SEChapter 5, Problem 59SEGiven information: Minimum sale price if left on the market (a)=200000 Maximum sale price if left on...Given: Sample size (n)=20 Sample mean (x¯)=290 Sample standard deviation (s)=30 Formula used: The...
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