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The Introductory Business Statistics course contains 74 self-grading microlearning lessons that work instantly inside your Learning Management System (LMS).

Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

Introductory Business Statistics places a significant emphasis on the development and practical application of formulas, so that students have a deeper understanding of their interpretation and application of data. To achieve this unique approach, we’ve included a wealth of additional material and purposely deemphasized the use of the scientific calculator. • Definitions of Statistics, Probability, and Key Terms
• Data, Sampling, and Variation in Data and Sampling
• Levels of Measurement
• Experimental Design and Ethics
• Final Assessment • Display Data
• Measures of the Location of the Data
• Measures of the Center of the Data
• Sigma Notation and Calculating the Arithmetic Mean
• Geometric Mean
• Skewness and the Mean, Median, and Mode
• Measures of the Spread of the Data
• Final Assessment • Terminology
• Independent and Mutually Exclusive Events
• Two Basic Rules of Probability
• Contingency Tables and Probability Trees
• Venn Diagrams
• Final Assessment • Hypergeometric Distribution
• Binomial Distribution
• Geometric Distribution
• Poisson Distribution
• Final Assessment • Properties of Continuous Probability Density Functions
• The Uniform Distribution
• The Exponential Distribution
• Final Assessment • The Standard Normal Distribution
• Using the Normal Distribution
• Estimating the Binomial with the Normal Distribution
• Final Assessment • The Central Limit Theorem for Sample Means
• Using the Central Limit Theorem
• The Central Limit Theorem for Proportions
• Finite Population Correction Factor
• Final Assessment • A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size
• A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case
• A Confidence Interval for A Population Proportion
• Calculating the Sample Size n: Continuous and Binary Random Variables
• Final Assessment • Null and Alternative Hypotheses
• Outcomes and the Type I and Type II Errors
• Distribution Needed for Hypothesis Testing
• Full Hypothesis Test Examples
• Final Assessment • Comparing Two Independent Population Means
• Cohen’s Standards for Small, Medium, and Large Effect Sizes
• Test for Differences in Means: Assuming Equal Population Variances
• Comparing Two Independent Population Proportions
• Two Population Means with Known Standard Deviations
• Matched or Paired Samples
• Final Assessment • Facts About the Chi-Square Distribution
• Test of a Single Variance
• Goodness-of-Fit Test
• Test of Independence
• Test for Homogeneity
• Comparison of the Chi-Square Tests
• Final Assessment • Test of Two Variances
• One-Way ANOVA
• The F Distribution and the F-Ratio
• Facts About the F Distribution
• Final Assessment • The Correlation Coefficient r
• Testing the Significance of the Correlation Coefficient
• Linear Equations
• The Regression Equation
• Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation
• Predicting with a Regression Equation
• How to Use Microsoft Excel® for Regression Analysis
• Final Assessment
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