MyLab Statistics with Pearson EText (24 Months) for Basic Business Statistics
MyLab Statistics with Pearson EText (24 Months) for Basic Business Statistics
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Author(s): Berenson, Mark
Levine, David
ISBN No.: 9780138069483
Year: 202312
Format: Digital, Other
Price: $ 199.80
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

F. First Things First Using Statistics: Is the Price Right? FTF.1 Business Statistics Sidebar: Crossing Over FTF:.2 Talking About Data Sidebar: Secondary Data and Data Privacy FTF.3: Software Orientation Using Statistics: Is the Price Right? Revisited Summary Key Terms References Cases Excel Orientation JMP Orientation Minitab Orientation Tableau Orientation 1. Defining and Collecting Data Using Statistics: Collecting Some Defining Moments 1.1: Defining Data Sidebar: Failing at Statistics I 1.2: Populations, Samples, and Sampling 1.


3: Types of Survey Errors Sidebar: Failing at Statistics II: What George Gallup Got Wrong 1.4: Data Cleaning 1.5: Data Wrangling Using Statistics: Collecting Some Defining Moments, Revisited Summary Key Terms Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide Tableau Guide 2. Tabular and Visual Summarization of Variables Using Statistics: "The Choice Is Yours" 2.1: Summarizing Categorical Variables as Tables 2.2: Summarizing Numerical Variables as Tables Sidebar: Excelling with Bins 2.3: Visualizing Categorical Variables 2.4: Visualizing Numerical Variables 2.


5: Visualizing Two Numerical Variables 2.6: Summarizing Multiple Variables as Tables 2.7: Visualizing Multiple Variables 2.8: Filtering Variables 2.9: Pitfalls in Summarizing and Visualizing Variables Using Statistics: "The Choice Is Yours," Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide Tableau Guide 3. Numerical Descriptive Measures Using Statistics:More Descriptive Choices 3.1: Measures of Central Tendency 3.2: Measures of Variation and Shape 3.


3: Exploring Numerical Variables 3.4: Numerical Descriptive Measures for a Population 3.5: The Covariance and the Coefficient of Correlation 3.6: Descriptive Statistics: Pitfalls and Ethical Issues Using Statistics: More Descriptive Choices, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide Tableau Guide 4. Basic Probability Using Statistics: Probable Outcomes at Fredco Warehouse Club 4.1: Basic Probability Concepts 4.2: Conditional Probability 4.3: Bayes'' Theorem Sidebar: Divine Providence and Spam 4.


4: Counting Rules 4.5: Ethical Issues and Probability Using Statistics: Probable Outcomes at Fredco Warehouse Club, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 5. Discrete Probability Distributions Using Statistics: Events of Interest at Ricknel Home Centers 5.1: The Probability Distribution for a Discrete Variable 5.2: Binomial Distribution 5.3: Poisson Distribution 5.4: Covariance of a Probability Distribution and Its Application in Finance 5.5: Hypergeometric Distribution Using Statistics: Probable Events of Interest at Ricknel Home Centers, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 6.


The Normal Distribution and Other Continuous Distributions Using Statistics: Normal Load Times for See+ Home Page 6.1: Continuous Probability Distributions 6.2: The Normal Distribution Visual Explorations: Exploring the Normal Distribution Sidebar: What is Normal? 6.3: Evaluating Normality 6.4: The Uniform Distribution 6.5: The Exponential Distribution 6.6: The Normal Approximation to the Binomial Distribution Using Statistics: Normal Load Times . , Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 7.


Sampling Distributions Using Statistics:Sampling Oxford Snacks 7.1: Sampling Distributions 7.2: Sampling Distribution of the Mean Visual Explorations: Exploring Sampling Distributions 7.3: Sampling Distribution of the Proportion 7.4: Sampling from Finite Populations Using Statistics: Sampling Oxford Snacks, Revisited Summary Sidebar: (Of) Chance Discoveries Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide MP Guide Minitab Guide 8. Confidence Interval Estimation Using Statistics: Getting Estimates at Ricknel Home Centers 8.1: Confidence Interval Estimate for the Mean (σ Known) 8.2: Confidence Interval Estimate for the Mean (σ Unknown) 8.


3: Confidence Interval Estimate for the Proportion 8.4: Determining Sample Size 8.5: Confidence Interval Estimation and Ethical Issues 8.6: Confidence Interval Estimation in Auditing 8.7: Estimation and Sample Size Determination for Finite Populations 8.8: Bootstrapping Using Statistics: Getting Estimates at Ricknel Home Centers, Revisited Summary Sidebar: Errors About the "Margin of Error" in Polls Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 9. Fundamentals of Hypothesis Testing: One-Sample Tests Using Statistics: Significant Testing at Oxford Snacks Fundamentals of Hypothesis Testing: One-Sample Tests 9.1: Fundamentals of Hypothesis Testing 9.


2: Hypothesis Test Approaches 9.3: t Test of Hypothesis for the Mean (σ Unknown) 9.4: One-Tail Tests 9.5: Z Test of Hypothesis for the Proportion 9.6: Potential Hypothesis-Testing Pitfalls and Ethical Issues 9.7: Power of the Test Using Statistics: Significant Testing at Oxford Snacks, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 10. Two-Sample Tests Using Statistics: Differing Means for Selling Smart TVs at Arlingtons? 10.1: Comparing the Means of Two Independent Populations 10.


2: Comparing the Means of Two Related Populations 10.3: Comparing the Proportions of Two Independent Populations 10.4: F Test for the Ratio of Two Variances 10.5: Effect Size Using Statistics: Differing Means .? Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 11. Analysis of Variance Using Statistics: The Means to Find Differences at Arlingtons 11.1: One-Way ANOVA 11.2: Two-Way ANOVA 11.


3: The Randomized Block Design 11.4: Fixed Effects, Random Effects, and Mixed Effects Models Using Statistics: The Means to Find Differences at Arlingtons, Revisited Summary Sidebar: "Why can''t you combine the pre- and post-hoc tests into one?" Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 12. Chi-Square and Nonparametric Tests Using Statistics: Making a Difference at T.C. Resorts 12.1: Chi-Square Test for the Difference Between Two Proportions 12.2: Chi-Square Test for Differences Among More Than Two Proportions 12.3: Chi-Square Test of Independence 12.


4: Wilcoxon Rank Sum Test for Two Independent Populations 12.5: Kruskal-Wallis Rank Test for the One-Way ANOVA 12.6: McNemar Test for the Difference Between Two Proportions (Related Samples) 12.7: Chi-Square Test for the Variance or Standard Deviation 12.8: Wilcoxon Signed Ranks Test 12.9: Friedman Rank Test Using Statistics: Making a Difference at T.C. Resorts, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 13.


Simple Linear Regression Using S.


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