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 non-normal data theory and case studies using minitab. In Section 7 we have an introduction where we will look at the Agenda of course. 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 pre-requisites for a process to be a stable process.
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Next in section 6, we will look at statistical process control charts. 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. 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. In the next section 4, we will look at inferential statistics.
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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 hypothetical data sets.
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In Section 1 we have an introduction where we will look at the Agenda of course.