Statistics Basics

Quick Info

Understanding statistical correlations is essential for all employees in a company. From management, to work systems, to continuous improvement – everywhere decisions are made by numbers.
This module enables you to collect and analyze the right amount of data from your processes, depending on the type. You will learn how data can be categorized and presented graphically in an appropriate chart form to provide a better basis for later decisions.

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Contents

● Introduction to statistics

● Statistical population

● Sample

● Evaluating data

● Correlation

● Different types of data

● Definition: Measured variable

● Types of data acquisition

● Frequency diagram

● Time series chart

● Histogram

● Scatter diagram

● Boxplot diagram

● Mean, median, mode

● Range, variance

● Standard deviation

● Define anomalies

● z-value

● Types of distribution

● Normal distribution

Key information

Fundamentals of statistics refer to the methods and techniques used to collect, analyze, interpret and present data. This area of knowledge is critical to making data-based decisions in science, industry and many other fields. Statistical principles include understanding different types of data, collecting and analyzing samples, and using descriptive and inferential statistical methods.

History

The origins of modern statistics can be traced back to the 17th century, when the first systematic methods for collecting and analyzing data were developed. In the 19th century, statistical methods were further formalized and expanded, particularly through the work of Karl Pearson and Ronald Fisher, in order to analyse phenomena in biology and the social sciences.

Usage

The statistical principles are used in almost every field that requires data-based decisions. These include science, medicine, business, engineering, government work and social media. Statistical methods help in the evaluation of experiments, monitoring production quality, predicting trends and other applications.

Benefits

Risks

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