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**Course Details** –:

**Published by:**

**#uidemy, #onlinecourse, #udemy**

**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 chi-square 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

**#paidcoursefree ,#coursea**

In this course we have 6 different sections.

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 t-distribution 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 t-test, 2 sample t-test, 2 variance test, paired t test, 1 proportion test, 2 proportion test, chi-square test etc.

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- The ideal student for this course is anyone who wants to learn and understand data analysis using Minitab or a professional who wants to expand on their current skills.
- There are no requirements necessary to enroll. I only ask to come open-minded and ready to learn.Sections 7 to 10 are discussed in part 2 of this Minitab complete course from beginner to advanced part 2 / 2.

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