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EncartaLabs

Basic Statistics for Engineers

( Duration: 2 Days )

The Basic Statistics for Engineers training course enables you to build foundation in basic concept of engineering statistics. By the end of the course, you shall have a better understanding and application of various statistical concept and method. You should be able to analyse, interpret and apply statistics in the work place.

By attending Basic Statistics for Engineers workshop, delegates will learn to:

  • Build foundation in basic concept of engineering statistics, providing solid groundwork to further quality knowledge study on Quality Improvement, Statistical Process Control, Design of Experiment, Measurement System Analysis and Six Sigma Program,
  • Have a better understanding and application of various statistics concept and methods such as normal distribution, quick detection of outliers, q-q plots, degree of freedom
  • Able to analyse, interpret and apply the statistics, transformation, testing of population and sample means, confidence level and hypothesis testing. Introduction to ANOVA and etc.
  • Use of statistical software to enhance application, analysis and interpretation

The Basic Statistics for Engineers class is ideal for:

  • Quality Engineers, Process Engineers, Manufacturing Engineers
  • All technicians, assistant engineers and engineers in a production, engineering and quality environment in the biomedical, semiconductor, automotive and aerospace industry who need to be equipped with a thorough understanding of statistics.
  • Any personnel who wants to gain deep understanding in the basic statistics and a precursor for statistical process control, measurement system analysis and other statistical applications.
  • Engineering and quality personnel who wants to refresh statistical concept and statistical applications to do quality improvement in the production process and process capability improvement.

COURSE AGENDA

1

Introduction to Statistics

  • What is Statistics?
  • Descriptive and Inferential Statistics (Graphing and Distribution)
  • Type of Data (Continuous and Discrete)
  • Role of Statistics
2

Descriptive Statistics

  • Graphing Qualitative/Quantitative Variables
  • Stem and Leaf, Histogram, Dot Plot, Bar Charts, Quantile-Quantile (q-q) plits, Contour plot
  • Measure of Central Tendency, Variation, Relative Standing
  • Methods for Detecting Outliers (Fast and Simple)
3

Estimation and Confidence Intervals

  • Introduction to Estimation
  • Degrees of Freedom
  • Characteristics of Estimators
  • Confidence Intervals
  • Estimate Population Mean
  • Estimate Population Variance
4

Tests of Hypotheses

  • What is Significance Testing?
  • Relation between Hypotheses and Confidence Intervals
  • Type I and II Errors
  • One- and Two-Tailed Tests
  • Hypothesis Testing
  • Testing Population Mean
  • Testing Two Population Means
  • Testing Two Population Proportion
  • Testing Population Variance
5

Transformation

  • Why Transformations?
  • Normality Test
  • Log Transformations
  • Tukey Ladder of Powers
  • Box-Cox Transformations
  • Other Transformations
6

Analysis of Variance

  • Introduction to Analysis of Variance
  • Single Factor Analysis
  • Single Factor ANOVA
  • Two Factor ANOVA

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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