Hypothesis Testing and Confidence Intervals in Excel

Statistical analysis is the key to turning raw data into confident business decisions, yet many professionals struggle to apply these concepts in their daily work. This course bridges the gap between theory and practice, showing you how to perform essential statistical tests using standard spreadsheet tools. You will learn how to formulate research questions, calculate margins of error, and draw accurate conclusions from your data. By reading through this structured text-only guide, you will transition from manual calculation confusion to confidently running statistical analyses in Excel. Starting with foundational definitions, you will progress to executing real-world tests on actual datasets. What you'll learn: - Understand the core concepts of statistical significance, null hypotheses, and p-values - Calculate and interpret confidence intervals for means and proportions - Perform one-sample and two-sample t-tests using Excel formulas like T.DIST - Determine the correct statistical test to apply based on your data structure - Practice interpreting output data to make valid, data-driven business recommendations - Avoid common analytical pitfalls, such as misinterpreting p-values and statistical power This course begins with clear explanations of essential statistical terminology and distributions. You will then study step-by-step written walkthroughs demonstrating how to input data, construct formulas, and analyze results directly in Excel. This course is designed for beginners, business analysts, and students who want to build a solid foundation in statistics. No prior advanced mathematics or statistical background is required. Start reading today to unlock the power of statistical decision-making in your spreadsheet workflow.