Managing Data to Make Decision – Training on Minitab

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Course Content

Day – 01

  • Introduction
    • Definition of Data
    • Types of Data
    • Importance of Data and Analysis
  • Understanding Minitab
    • Understanding The Basics Of Minitab
    • Main Screen
    • Data Window
    • Entering & Importing Data
    • Worksheet Files Vs. Project Files
    • Types Of Pull Down Menus
    • Browse Session Window
    • Browse Worksheets
    • Browse Information
  • Graphical Analysis in Minitab& Interpretation
    • Bar Chart – Interpretation & Use
    • Pareto Chart – Interpretation & Use
    • Time Series Plot / Line Chart / Run Chart – Interpretation & Use
    • Histogram – Study of Variation
    • Types &Interpretation Of Histograms
    • Use Of Histogram
    • Box Plot
    • Use &Interpretation Of Box Plot
    • Bubble Plot
    • Use &Interpretation Of Bubble Plot
    • Probability Plot
    • Use &Interpretation of Probability Plot
    • Scatter Plot
    • Use &Interpretation Of Scatter Plot
    • Correlation &Scatter Diagram
    • Correlation Coefficient

Data Analysis inMinitab & Interpretation

  • Measures of Central Tendency & Dispersion
    • Understanding Mean, Median & Mode
    • Understanding Range, Variance & SD
    • Basic Statistical Analysis In Minitab
  • Process Control / Control Chart
    • Precision And Accuracy
    • Understanding Variation
    • Patterns of Shift &Drift Variation
    • Common Vs. Assignable CauseVariation
    • Understanding Normal Distribution
    • Central Limit Theorem
    • Control Charts – Two Uses
    • Specifications & Goals
    • Control Limit Vs. Specification& Goal
    • Types of Control Chart
    • How Do I Select The Correct Chart?
    • Rational Sub Group

Day – 02

  • Variable Control Charts
    • Individual / Moving Range Charts
    • X – Bar And R Control Charts
    • Understanding Out Of Control Situations
    • Actions for Out Of Control Situations
  • Attribute Control Charts
    • Defects Vs. Defectives
    • Types Of Attribute Charts
    • NP – Chart
    • C – Charts
    • U – Chart
  • Process Capability Analysis
    • Understanding Process Capability
    • Cp/ Cpk, Pp/Ppk
    • Process Capability (Z Value Method)
  • Test of Hypothesis
    • Statistical Hypothesis – Basic Concepts
    • Null Vs. Alternate Hypothesis
    • Alpha Value / Significance Level
    • Beta Risk
    • Type – I & Type – II Errors
    • Power
    • P–Value
    • Single Sided Vs. Double Sided Test
    • Common Tests Of Hypothesis
    • Single Population (Z – Test )
    • Single Population (T – Test)
    • Two Populations (T – Test)
    • Test of Equal Variance
    • Paired T – Test
    • Tables And Chi-Square Analysis
    • Proportion Test
  • Simple Regression
    • Obtaining The Best Fit Line
    • How Regression Equation Is Determined?
    • Understanding R – Square
    • Extrapolation & Interpolation in Regression
    • Interpretation of P – Value In Regression
  • ANOVA – One Way ANOVA
    • The Basic Anova Situation
    • From t To F
    • Two Sources Of Variability
    • Variability Within Vs. Between Groups
    • The F Ratio
    • Assumptions Of Anova
    • Normality Check
    • Standard Deviation Check
    • So How Big Is F?
    • R2 Statistic In ANOVA
    • ANOVA in Minitab
    • Interpretation of Results in ANOVA