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From Means to Medians: Tools for Statistical Decision Making

Learn practical statistics using Excel! Compare parametric & nonparametric methods with real-world examples. Data analysis made easy.

4.3(6)
67students
5h 27m
Certificate
Ray Harkins, The Manufacturing Academy
Ray Harkins, The Manufacturing AcademySenior Manufacturing Professional, Online Educator

Course Content

From Means to Medians: Tools for Statistical Decision Making is an all-levels Udemy course taught by Ray Harkins, The Manufacturing Academy. It runs 5h 27m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 6 reviews, with 67 students enrolled. It is a paid course, last updated August 2025.

Unlock Data-Driven Decisions: Statistical Analysis with Excel

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? Master practical statistical tools with From Means to Medians: Tools for Statistical Decision Making.

This course focuses on the practical application of both parametric and nonparametric statistical tools. Whether you're analyzing product testing, quality assurance, operations management, medical research, or survey data, you'll learn to choose the right statistical method and apply it immediately using Microsoft Excel.

Unlike traditional statistics courses bogged down in heavy math, this course emphasizes real understanding, real examples, and real decisions. You'll gain the skills to confidently interpret data and make informed choices.

What You'll Get:

  • Real-life examples from diverse fields: materials testing, education research, medical testing, manufacturing, psychology, and more.
  • Hands-on Excel templates (yours to keep!) for immediate application.
  • A comprehensive glossary of terminology to build your statistical vocabulary.
  • Practice exercises to reinforce your learning and build proficiency.
  • LIFETIME ACCESS to all course materials and future updates.
  • Q&A access to industry-leading professionals for expert guidance.

Who This Course Is For:

This course is ideal for professionals who work with data but lack the time for extensive theoretical study:

  • 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 determine if measurements, treatments, products, or processes are truly different – or track their relationships – this course is for you.

What You'll Learn:

  • Foundations of Descriptive Statistics: Understand key statistical concepts.
  • Parametric vs. Nonparametric Testing: Learn when to use each type of test for optimal results.
  • Hypothesis Testing Simplified: Master the basics of hypothesis testing.
  • Understanding Normal Distributions: Learn about validity, robustness, and assumptions.
  • Goodness-of-Fit Tests: Utilize tests like the Anderson-Darling Test.
  • The Central Limit Theorem Made Practical: Apply this crucial statistical concept.
  • Performing t-Tests and ANOVA: Learn easy methods for these common tests.
  • Working with Binomial and F Distributions: Understand and apply these distributions.
  • Using Excel’s RANK.AVG and Nonparametric Formulas: Leverage Excel's built-in functions.
  • Performing Real-World Tests: Master the Sign Test, Wilcoxon Signed Rank, Mann-Whitney U, Kruskal-Wallis, and Friedman Test.
  • Nonparametric Correlation Methods: Explore Spearman’s Rank Correlation.
  • Practical Excel Demonstrations: Get hands-on experience with 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 overcomplicating.
  • Learn by Doing: Practice exercises reinforce your skills.
  • Lifetime Learning: Stay current with updates and professional Q&A.

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 effectively.
  • 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!

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