![]() In this section we will look at concepts like inferential statistics, what is meant by random sampling, sampling distribution, central limit theorem and t-distribution introduction concepts. Next in section 4, we will look at inferential 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 In Section 3 we will look at descriptive statistics. 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. In Section 1 we have introduction where we will look at Agenda of course. Open-mindedness and willingness to learn. ![]() ![]() Minitab Software which you can download from the official website from Minitab, where you can get 30 days free trail.Capability analysis for Non-normal data.Capability Analysis: Cp, Cpk, Pp, Ppk, Sigma Level.Statistical Process Control Charts (X bar, R, S, I, MR, C, U, P, NP charts).Normal Distribution and Normal Distribution Probability.Inferential Statistics (1 sample t test, 2 sample t test, paired t test, 2 variance, 1 proportion test, 2 proportion test and chi-square test).Descriptive Statistics in Minitab (Mean, Median, Range, Standard Deviation and Variance).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.Types of Data (Attribute, Variable, Count etc.).Minitab: Best Minitab course to Master Minitab Software with Theory, Examples and Case Studies | Master Minitab Software Minitab: Master Minitab From A-Z | Minitab 19 What you’ll learn Minitab: Master Minitab From A-Z | Minitab 19 Download
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