[2020] Minitab: Master Minitab From AZ  Minitab 19
via Udemy
Overview
What you'll learn:
> Types of Data (Attribute, Variable, Count etc.)
> How to plot different types of charts in Minitab (Bar Chart, Pareto, Pie Diagrams, Histograms, Dot Plot, Individual Value Plot, Time series plot etc.) Box Plot
> Descriptive Statistics in Minitab (Mean, Median, Range, Standard Deviation and Variance)
> Inferential Statistics (1 sample t test, 2 sample t test, paired t test, 2 variance, 1 proportion test, 2 proportion test and chisquare test)
> Central Limit Theorem
> Normal Distribution and Normal Distribution Probability
> Type I and Type II errors
> Statistical Process Control Charts (X bar, R, S, I, MR, C, U, P, NP charts)
> Six Sigma
> Minitab 19
> Minitab 17
> Minitab Six Sigma
> Lean Six Sigma
> Course Completion Certificate
> Process Capability
> Cp Cpk Pp Ppk Sigma Level
> Design of Experiments
> Capability Analysis: Cp, Cpk, Pp, Ppk, Sigma Level
> One Way ANOVA
> Two Way ANOVA
> Blocking and CenterPoints in DOE
> Measurement System Analysis
> Accuracy and Precision Errors
> Bias Linearity and Stability
> Gage Repeatability and Reproducibility
> Correlation and Regression
> Capability analysis for Nonnormal data
> Box Cox Transformation
> Johnson Transformation
In Section 1 we have introduction where we will look at Agenda of course.
Next In section 2 we have graphical Analysis where we will look at different types of data types, different types of graphs with both theoretical concepts and how to plot those graphs using a hypothetical data sets.
Next in In Section 3 we will look at descriptive statistics. In this section we will look at what is mean, median, range, variance and standard deviation with formulas, once theoretical concepts are understood then we will look at how to calculate descriptive statistics in Minitab.
Next in section 4, we will look at inferential statistics. In this section we will look at concepts like inferential statistics, what is meant by random sampling, sampling distribution, central limit theorem and tdistribution introduction concepts.
Next in section 5, we will look at hypothesis testing, in this section we will look at concepts like confidence intervals, hypothesis testing, null hypothesis, alternate hypothesis, type I and type II errors and we will look at hypothesis tests like, 1 sample ttest, 2 sample ttest, 2 variance test, paired t test, 1 proportion test, 2 proportion test, chisquare test etc.
Next in section 6, we will look at statistical process control charts. In this section we will look at horizontal lines in control charts like mean, upper control limit, lower control limit, and we will look at the prerequisites for a process to be a stable process.
In Section 7 we have introduction where we will look at Agenda of course.
Next In section 8 and section 9 we have Process Capability where we will look at process capability indices like cp, cpk, pp, ppk, sigma level and parts per million for both normal data and nonnormal data both theory and case studies using minitab.
Next in In Section 10 one way and two way ANOVA concepts using hypothesis tests using F and P values both theory and case studies using Minitab.
Similarly in section 11 we will talk about correlation and regression concepts with theory and examples using Minitab.
In section 12 we will discuss about measurement system analysis and how gage r and r studies are conducted in Minitab using theory and examples.
Finally in section 13 we will talk about design of experiments including blocking and ceterpoints concepts using Minitab and examples.
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Taught by
Magine Solutions
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