Business Applications of Hypothesis Testing and Confidence Interval Estimation Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a practical introduction to hypothesis testing and confidence interval estimation with a focus on real-world business applications. Through hands-on exercises in Microsoft Excel, learners will gain the skills to analyze data, make statistically sound decisions, and interpret results in business contexts. The course is structured into four core modules followed by a final project, with a total time commitment of approximately 40 hours. Each module builds progressively from foundational concepts to applied techniques, ensuring beginners can follow along with clarity and purpose.
Module 1: Confidence Interval – Introduction
Estimated time: 10 hours
- Basics of confidence intervals
- Understanding t-statistics and z-scores
- Using Excel functions T.DIST and T.INV
- Constructing confidence intervals from real-world datasets
Module 2: Confidence Interval – Applications
Estimated time: 10 hours
- Applying confidence intervals to business scenarios
- Calculating sample sizes for surveys and testing
- Confidence intervals for proportions
- Introduction to hypothesis testing
Module 3: Hypothesis Testing
Estimated time: 10 hours
- The four steps of hypothesis testing
- Differentiating null and alternative hypotheses
- One-tailed vs. two-tailed tests
- Type I and Type II errors
Module 4: Hypothesis Test – Differences in Mean
Estimated time: 10 hours
- Testing differences between two means
- Handling equal and unequal variance conditions
- Conducting paired sample t-tests
Module 5: Final Project
Estimated time: 10 hours
- Analyze a real business dataset using confidence intervals
- Perform hypothesis tests to evaluate business decisions
- Present findings with Excel-based calculations and interpretations
Prerequisites
- Basic familiarity with Microsoft Excel
- High school level math skills
- Access to Microsoft Excel 2010 or newer
What You'll Be Able to Do After
- Construct and interpret confidence intervals for business metrics
- Calculate appropriate sample sizes for surveys and A/B tests
- Apply hypothesis testing to evaluate business strategies
- Use Excel functions like Z.TEST, T.DIST, and T.INV for statistical analysis
- Differentiate between types of hypothesis tests and know when to use them