**About this course**

In this module, we will cover an overview of how to use the Basic Stats module within Sigma Magic software. Basic Statistics is used to describe any data that you collect. It helps your transform your data into information. For example, it helps answer the question where is your data located? How much variation do we have in our data?

**Pre-requisites**

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

**Estimated Time**

It will take approximately 60 minutes to complete this course.

**About this course**

In this module, we will cover an overview of process capability indices such as DPMO, Sigma Level, and Process Capability Index for both continuous and attribute data and show how to compute these indices using Sigma Magic software. Process capability indices are used to quantify the performance of the process to determine if the process is capable of meeting customer requirements.

**Pre-requisites**

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

**Estimated Time**

It will take approximately 60 minutes to complete this course.

**About this course**

In this module, we will cover a brief overview of hypothesis testing and the various statistical tests to compare one or more sets of data for both continuous and attribute primary metrics.

**Pre-requisites**

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

**Estimated Time**

It will take approximately 60 minutes to complete this course.

**About this course**

In this module, we will cover a brief overview of control charts using Sigma Magic software. Control charts are used to determine if a process is in statistical process control - which determines if a process is only affected by common or natural causes or if there are any special causes.

**Pre-requisites**

**Estimated Time**

It will take approximately 60 minutes to complete this course.

**About this course**

In this module, we will cover how to perform correlation analysis between variables. The objective of correlation analysis is to determine if the input variables are correlated with each other. We say that variables are correlated if an increase in the value of one variable correlates to an increase (or decrease) in the value of the other variable.

**Pre-requisites**

**Estimated Time**

It will take approximately 60 minutes to complete this course.

**About this course**

The normal distribution also known as the Gaussian distribution or the bell curve is a very common distribution and the data collected from a number of processes follow this distribution. Knowing that a distribution is normal can help us make useful predictions about the process. Graphically, we can use the histogram to determine if the data is normally distributed however, this could be subjective. In this module, we will look at how we can use some statistical tests to determine normality.

**Pre-requisites**

**Estimated Time**

It will take approximately 60 minutes to complete this course.

**About this course**

The normal distribution also known as the Gaussian distribution or the bell curve is a very common distribution and the data collected from a number of processes follow this distribution. Knowing that a distribution is normal can help us make useful predictions about the process. Graphically, we can use the histogram to determine if the data is normally distributed however, this could be subjective. In this module, we will look at how we can use some statistical tests to determine normality.

**Pre-requisites**

**Estimated Time**

It will take approximately 60 minutes to complete this course.