Why distinguish between what type of data you are working with? Here we can explain it to you together with basic indicators such as mean, median, standard deviation and more. We will also teach you how to read and create frequently used graphs such as Histogram, Boxplot, Pareto and more!
- Lesson 1 - Average is not everything or how to look at individual types of data
- Lesson 2 - What else to watch in the process?
- Lesson 3 - Visualization of attributive data
- Lesson 4 - Visualization of continuous and discrete data
- Lesson 5 - Visualization of continuous and discrete data - dependencies and evolution over time
- Lesson 6 - Solved example in Minitab 19
- Lesson 7 - Individual work
Is it not clear to you why you need more from statistics than to be able to calculate the average? In this block, we will explain the statistics nicely from the beginning on practical examples, and then you will try the principles separately in Minitabu. Here you will find answers to the questions: Why use statistics? What is a "normal distribution"? What is a confidence interval?
Do you also find it difficult to make decisions based on graphs, because everyone sees something different in it? How about using a tool that gives everyone the same answer with the same data? You will learn exactly such a tool in this block. This is hypothesis testing, where we want to know what is already a systematic difference and what is just a coincidence.
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