From Means to Medians: Tools for Statistical Decision Making

From Means to Medians: Tools for Statistical Decision Making free download

Master Practical Statistics with Excel by Comparing Parametric and Nonparametric Approaches Across Real World Examples

Course Description:

Are you ready to make faster, smarter, and more confident decisions using real-world data — even when your data doesn't follow the "textbook rules"?
Welcome to From Means to Medians: Tools for Statistical Decision Making

In this course, you’ll master the practical application of both parametric and nonparametric statistical tools. Whether you're working with product testing, quality assurance, operations management, medical research, or survey data, you'll learn how to choose the right tool for the job — and apply it immediately using Microsoft Excel.

Unlike traditional statistics courses that bog you down in heavy math, this course emphasizes real understanding, real examples, and real decisions.

You'll get everything you need to succeed:

• Real-life examples from materials testing, education research, medical testing, manufacturing, psychology, and more

• Hands-on Excel templates (yours to keep)

• Glossary of Terminology

• Practice exercises to apply what you've learned

• LIFETIME ACCESS to all course materials and future updates

• Q&A access to industry-leading professionals

Who This Course Is For:

This course is ideal for professionals who work with data but don't have time for deep theory:

• Quality Engineers

• Reliability Engineers

• Manufacturing Engineers

• Process Improvement Leaders

• Data Analysts and Scientists

• Market Researchers and UX Researchers

• Clinical Researchers and Biostatisticians

• Project Managers and Risk Analysts

• Graduate Students and Early Career Researchers

If you need to decide whether your measurements, treatments, products, or processes are truly different—or track together—you belong here.

What You'll Learn:

• Foundations of Descriptive Statistics

• Parametric vs. Nonparametric Testing — and when to use each

• Hypothesis Testing Simplified

• Understanding Normal Distributions, Validity, Robustness, and Assumptions

• Goodness-of-Fit Tests (including the Anderson-Darling Test)

• The Central Limit Theorem Made Practical

• Performing t-Tests and ANOVA the easy way

• Working with Binomial and F Distributions

• Using Excel’s RANK.AVG and Nonparametric Formulas

• Performing real-world tests: Sign Test, Wilcoxon Signed Rank, Mann-Whitney U, Kruskal-Wallis, Friedman Test

• Nonparametric Correlation Methods like Spearman’s Rank Correlation

• Practical Excel demonstrations for each major topic

Why Take This Course?

• Real-World Relevance: Every tool is explained through relatable examples, not just theory.

• Excel-Based: No expensive or complicated statistical software required.

• Focused on Decision-Making: Learn to apply the right test without second-guessing or overcomplicating.

• Learn by Doing: Every major topic comes with practice exercises to reinforce your skills.

• Lifetime Learning: Stay current with lifetime access to updates and professional Q&A support.

Requirements:

• Basic familiarity with Microsoft Excel

• No advanced statistics background required

• A willingness to think practically about solving real-world problems with data

When You Finish This Course, You Will Be Able To:

• Select the correct statistical test for your real-world data

• Confidently apply both parametric and nonparametric methods

• Interpret results clearly and communicate your findings

• Make reliable, data-driven decisions even when your data isn't "perfect"

Join thousands of other professionals who have accelerated their careers by learning practical statistics the smart way. Enroll today and transform the way you make decisions with data!