Business Statistics: Concepts and Applications in R

Business analytics

ISBN:

978-1-952023-08-8

Business Statistics: Concepts and Applications in R

Ronald Miller, PhD Meg Costantino Bonnie Dalley Andre Oliveira, PhD

Which test fits the question? Business decisions often depend on answering that correctly, and this resource teaches students to do it using R. Students begin with the statistical decision-making process, sampling, types of variables, and descriptive statistics, then move through probability, t-tests, and the full family of ANOVA methods (one-way, two-way, repeated measures, and mixed factorial). From there they tackle correlation, simple and multiple regression, chi-square tests, logistic regression, and nonparametric methods. Students learn to describe current business data, make estimates about larger groups, and predict future conditions, building the skills to inform smart business decisions.

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Chapter 1: Introduction to Business Statistics Chapter 2: Probability Chapter 3: The T-Test Chapter 4: One-Way ANOVA: Differences between Three or More Groups Chapter 5: Two-Way ANOVA: Differences between Three or More Groups Chapter 6: Repeated Measures ANOVA: Differences between Three or More Groups Chapter 7: Mixed Factorial ANOVA: Differences between Three or More Groups Chapter 8: Correlation Coefficient: Relationships between Two Variables Chapter 9: Simple Linear Regression: Relationships between Two Variables Chapter 10: Multiple Regression: Relationships between Three or More Variables Chapter 11: Dealing with Categorical Variables: Chi-Square and Differences Between Groups Chapter 12: Dealing with Categorical Variables: Logistic Regressions and Relationships Between Variables Chapter 13: Nonparametrics Appendices

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