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035 one-Way ANOVA - Graphs and Summary Statistics - Lean Six Sigma Training 

Lean Six Sigma Training
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It’s difficult to compare groups by looking at the raw data alone, but we can use an individual value plot of the supplier strength data to help us. First, let’s look at the variation within each group. Consider Supplier 2. Do the strength measurements of its fiber vary?
DMAIC Roadmap step by step and common Tools to be used for each step • Six Sigma DMAIC step b...
001 A summary of Data and Statistic • 001 Data and Statistic...
002 Types of data • 002 Types of data. Att...
003 The important of graphs for analyzing data • 003 Using graphs to an...
004 Bar charts, Pareto charts and Pie charts • 004 Bar charts, Pareto...
005 Histogram and Dot plots • 005 Histogram and Dot ...
Create Histogram with Normal curve overlay in Excel • How to Create a Histog...
006 Individual Value Plots • 006 Individual Value P...
007 Box plots • 007 Box plots - What W...
008. Time Series Plots • 008 Time Series Plots ...
009 Statistical Inference - Population vs Sample
010 Randome sample • 009 Statistical Infere...
011 Sampling distribution • 011 Sampling Distribu...
012 Normal distribution • 012 Normal Distributio...
013 Confidence intervals , Confidence levels • 013 Confidence Interva...
014 Hypothesis testing - basic concept • 014 Hypothesis testing...
Critical to quality • Critical to quality VO...
What is Voice of Customer(VOC) • Voice of Customer(VOC)...
Why lean? What is lean? • Why lean? What is lean...
Why six sigma? What is six sigma? • Why six sigma? What is...
Six Sigma Certification Tollgate Checklist • Six Sigma Certificatio...
Process Capability, Capability indices, Cpk vs. Ppk, Capability Sixpack analysis • Process Capability, Ca...
Conduct normality test with Excel • Normality test - calcu...
Calculate StDev(Within), StDev(Overall) , Cp, Cpk using MS Excel • Subgroup greater than ...
Create Normal Curve - Distribution plot - Bell Curve - Normal Distribution graph in Excel in 5 steps • How to Create a Normal...

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5 сен 2024

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