Statistics is widely used when working within quality, and is a collection of mathematical techniques that help to analyse data.
You properly use statistical statements in your everyday life as well without noticing it. For example, “I drive around 40 miles a day on average”, or “I am more likely to spend less time on my commute to work if I leave 30 min earlier”.

History of Statistics

Statistics come from the field of probability within mathematics, which is used to determine how likely an event is to happen. Probability was first studied in the 1700 which also mark the beginning of statistics. Statistics have continued to grow ever since, and is widely used across many industries and sectors.

Usage of Statistics

Below are some examples of how statistics can be used.

  • Population and Samples: If a delivery of 200.000 parts is received, and you want to know what the variation is on a critical dimension, then a statistical sample can be taken. As it is not possible to measure all the parts, a sample size representative of the delivery is measured, to determine the variation in the delivery.
  • Organising Data: It is important to organise data, so that it is possible to understand it. For example, a raw list of +100 recorded issues does not make much sense to many people, but if plotted in a Pareto Chart, it suddenly becomes crystal clear which issues are contributing to most defects.
  • Collecting Data: In order to draw good conclusions, good data is needed. Some of the questions to ask is, are all parts measured with the same measurement equipment, where the parts randomly picked in the delivery etc. How data is collected is important, as it can have big influence on the result.

If you are interested in statistics for problem solving, then our 8D Problem Solving Training might be interesting for you. It is a detailed training on how to effectively solve problems and prevent them from reoccurring.

Alternatively you can continue to our quality training page for an overview of other training we provide.

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Statistics for Problem Solving