What you'll learn

Foundations in Descriptive Statistics, Parametric vs Nonparametric Methods, Hypothesis Testing, Normal Distribution
Validity, Robustness, Testing Assumptions, Goodness of Fit Tests, Anderson Darling Test, Central Limit Theorem
t Test, Binomial Distribution, ANOVA, F Distribution, Correlation, RANK.AVG Formula, Sign Test, Wilcoxon Signed Rank Test
Mann Whitney U Test, Friedman Test, Kruskal Wallis Test, Spearman's Rank Correlation Test, All References Included
All Excel templates yours with class
Real Life Examples from Materials Testing, Educational research, Operation Management, Medical testing, Plant Growth, and Psychology.
Practice Exercises for Each Major Topic

Requirements

Foundation in Descriptive Statistics Helpful
Good understanding of Microsoft Excel

Description

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 MakingIn 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 moreHands-on Excel templates (yours to keep)Practice exercises to apply what you've learnedLIFETIME ACCESS to all course materials and future updatesQ&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 EngineersReliability EngineersManufacturing EngineersProcess Improvement LeadersData Analysts and ScientistsMarket Researchers and UX ResearchersClinical Researchers and BiostatisticiansProject Managers and Risk AnalystsGraduate Students and Early Career ResearchersIf 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 StatisticsParametric vs. Nonparametric Testing — and when to use eachHypothesis Testing SimplifiedUnderstanding Normal Distributions, Validity, Robustness, and AssumptionsGoodness-of-Fit Tests (including the Anderson-Darling Test)The Central Limit Theorem Made PracticalPerforming t-Tests and ANOVA the easy wayWorking with Binomial and F DistributionsUsing Excel's RANK.AVG and Nonparametric FormulasPerforming real-world tests: Sign Test, Wilcoxon Signed Rank, Mann-Whitney U, Kruskal-Wallis, Friedman TestNonparametric Correlation Methods like Spearman's Rank CorrelationPractical Excel demonstrations for each major topicWhy 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 ExcelNo advanced statistics background requiredA willingness to think practically about solving real-world problems with dataWhen You Finish This Course, You Will Be Able To:Select the correct statistical test for your real-world dataConfidently apply both parametric and nonparametric methodsInterpret results clearly and communicate your findingsMake 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!

Who this course is for

Data Analysts, Supply Chain Analysts, Quality Engineers, Reliability Engineers
Industrial Engineers, Manufacturing Managers, Supply Chain Managers, Six Sigma Black Belts
People who want to learn about Nonparametric Statistics, ANOVA, Hypothesis Testing, Descriptive Statistics and Analytics in Microsoft Excel
Manufacturing Engineers, Process Improvement Engineers, Test Engineers, Data Scientists, Business Intelligence Analysts
Biostatisticians, Clinical Data Analysts, Epidemiologists, Research Scientists, Environmental Scientists, Market Research Analysts
Social Science Researchers, Education Research Analysts, Behavioral Scientists, Psychometricians
Homepage:

https://www.udemy.com/course/from-means-to-medians-tools-for-statistical-decision-making/