Statistics Basics

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.

Quick Info

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

Duration on request

Dates on request

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.

Beneftits

  • Analyze complex data effectively
  • Making better decisions
  • Quantify uncertainties
  • Scientific approach
  • Understanding of connections

Risks

  • Misleading if used incorrectly

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