
External
Introduction to Business Statistics - OER - Spring 2023
- Author
- JoEllen Green
- Publisher
- Fresno City College
- Source
- LibreTexts
- Language
- EN
- Category
- Business Administration
Contents· 177 sections
- 01: Sampling and Data
- 1.01: Introduction to Sampling and Data
- 1.02: Definitions of Statistics Probability and Key Terms
- 1.03: Data Sampling and Variation in Data and Sampling
- 1.04: Levels of Measurement
- 1.05: Experimental Design and Ethics
- 1.06: Chapter Key Terms
- 1.07: Chapter References
- 1.H: Sampling and Data (Homework)
- 1.R: Sampling and Data (Review)
- 1.S: Sampling and Data (Solutions)
- 02: Descriptive Statistics
- 2.01: introduction to Descriptive Statistics
- 2.02: Display Data
- 2.03: Measures of the Location of the Data
- 2.04: Measures of the Center of the Data
- 2.05: Sigma Notation and Calculating the Arithmetic Mean
- 2.06: Geometric Mean
- 2.07: Skewness and the Mean Median and Mode
- 2.08: Measures of the Spread of the Data
- 2.09: Chapter Key Terms
- 2.10: Chapter Formula Review
- 2.11: Chapter Homework
- 2.12: Chapter Practice
- 2.13: Homework
- 2.14: Chapter References
- 2.15: Chapter Homework Solutions
- 2.R: Descriptive Statistics (Review)
- 03: Probability Topics
- 3.01: Introduction to Probability
- 3.02: Probability Terminology
- 3.03: Independent and Mutually Exclusive Events
- 3.04: Two Basic Rules of Probability
- 3.05: Contingency Tables and Probability Trees
- 3.06: Venn Diagrams
- 3.07: Chapter Key Terms
- 3.08: Chapter Review
- 3.09: Chapter Formula Review
- 3.10: Chapter Practice
- 3.11: Chapter More Practice
- 3.12: Chapter Homework
- 3.13: Chapter Reference
- 3.14: Chapter Solution (Practice Homework)
- 04: Discrete Random Variables
- 4.01: Introduction to Discrete Random Variables
- 4.02: Hypergeometric Distribution
- 4.03: Binomial Distribution
- 4.04: Geometric Distribution
- 4.05: Poisson Distribution
- 4.06: Chapter Key Items
- 4.07: Chapter Review
- 4.08: Chapter Formula Review
- 4.09: Chapter Practice
- 4.10: Chapter Homework
- 4.11: Chapter References
- 4.12: Chapter Solution (Practice Homework)
- 05: Continuous Random Variables
- 5.01: Prelude to Continuous Random Variables
- 5.02: Properties of Continuous Probability Density Functions
- 5.03: The Uniform Distribution
- 5.04: The Exponential Distribution
- 5.05: Chapter Key Terms
- 5.06: Chapter Review
- 5.07: Chapter Formula Review
- 5.08: Chapter Practice
- 5.09: Chapter Homework
- 5.10: Chapter References
- 5.11: Chapter Solution (Practice Homework)
- 06: The Normal Distribution
- 6.01: Introduction to Normal Distribution
- 6.02: The Standard Normal Distribution
- 6.03: Using the Normal Distribution
- 6.04: Estimating the Binomial with the Normal Distribution
- 6.05: Chapter Key Items
- 6.06: Chapter Review
- 6.07: Chapter Formula Review
- 6.08: Chapter Practice
- 6.09: Chapter Homework
- 6.10: Chapter References
- 6.11: Chapter Solution (Practice Homework)
- 07: The Central Limit Theorem
- 7.01: Introduction to the Central Limit Theorem
- 7.02: The Central Limit Theorem for Sample Means
- 7.03: Using the Central Limit Theorem
- 7.04: The Central Limit Theorem for Proportions
- 7.05: Finite Population Correction Factor
- 7.06: Chapter Key Terms
- 7.07: Chapter Review
- 7.08: Chapter Formula Review
- 7.09: Chapter Practice
- 7.10: Chapter Homework
- 7.11: Chapter References
- 7.12: Chapter Solution (Practice Homework)
- 08: Confidence Intervals
- 8.01: Introduction to Confidence Intervals
- 8.02: A Confidence Interval for a Population Standard Deviation Known or Large Sample Size
- 8.03: A Confidence Interval for a Population Standard Deviation Unknown Small Sample Case
- 8.04: A Confidence Interval for A Population Proportion
- 8.05: Calculating the Sample Size n- Continuous and Binary Random Variables
- 8.06: Chapter Key Terms
- 8.07: Chapter Review
- 8.08: Chapter Formula Review
- 8.09: Chapter Practice
- 8.10: Chapter Homework
- 8.11: Chapter References
- 8.12: Chapter Solution (Practice Homework)
- 09: Hypothesis Testing with One Sample
- 9.01: Introduction to Hypothesis Testing
- 9.02: Null and Alternative Hypotheses
- 9.03: Outcomes and the Type I and Type II Errors
- 9.04: Distribution Needed for Hypothesis Testing
- 9.05: Full Hypothesis Test Examples
- 9.06: Chapter Key Terms
- 9.07: Chapter Review
- 9.08: Chapter Formula Review
- 9.09: Chapter Practice
- 9.10: Chapter Homework
- 9.11: Chapter References
- 9.12: Chapter Solution (Practice Homework)
- 10: Hypothesis Testing with Two Samples
- 10.01: Introduction
- 10.02: Comparing Two Independent Population Means
- 10.03: Cohen's Standards for Small Medium and Large Effect Sizes
- 10.04: Test for Differences in Means- Assuming Equal Population Variances
- 10.05: Comparing Two Independent Population Proportions
- 10.06: Two Population Means with Known Standard Deviations
- 10.07: Matched or Paired Samples
- 10.08: Chapter Key Terms
- 10.09: Chapter Review
- 10.10: Chapter Formula Review
- 10.11: Chapter Practice
- 10.12: Homework
- 10.13: Chapter Homework
- 10.14: Chapter References
- 10.15: Chapter Solution (Practice Homework)
- 11: The Chi-Square Distribution
- 11.01: Prelude to the Chi-Square Distribution
- 11.02: Facts About the Chi-Square Distribution
- 11.03: Test of a Single Variance
- 11.04: Goodness-of-Fit Test
- 11.05: Test of Independence
- 11.06: Test for Homogeneity
- 11.07: Comparison of the Chi-Square Tests
- 11.08: Chapter Key Terms
- 11.09: Chapter Review
- 11.10: Chapter Formula Review
- 11.11: Chapter Practice
- 11.12: Homework
- 11.13: Chapter Homework
- 11.14: Chapter References
- 11.15: Chapter Solution (Practice Homework)
- 12: F Distribution and One-Way ANOVA
- 12.01: Introduction to F Distribution and One-Way ANOVA
- 12.02: Test of Two Variances
- 12.03: One-Way ANOVA
- 12.04: The F Distribution and the F-Ratio
- 12.05: Facts About the F Distribution
- 12.06: Chapter Key Terms
- 12.07: Chapter Review
- 12.08: Chapter Formula Review
- 12.09: Chapter Practice
- 12.10: Chapter Homework
- 12.11: Chapter Reference
- 12.12: Chapter Solution (Practice Homework)
- 13: Linear Regression and Correlation
- 13.01: Introduction to Linear Regression and Correlation
- 13.02: The Correlation Coefficient r
- 13.03: Testing the Significance of the Correlation Coefficient
- 13.04: Linear Equations
- 13.05: The Regression Equation
- 13.06: Interpretation of Regression Coefficients- Elasticity and Logarithmic Transformation
- 13.07: Predicting with a Regression Equation
- 13.08: How to Use Microsoft Excel for Regression Analysis
- 13.09: Chapter Key Terms
- 13.10: Chapter Review
- 13.11: Chapter Practice
- 13.12: Chapter Solution