ICTD International Centre for Training and Development

Basic Statistical Analysis of Laboratory Data

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About the course

This 5 days course is designed to understand the fundamentals of statistical treatment of laboratory data and learn how to solve basic data analysis problems with the help of Excel. Through a combination of lectures and problem-solving sessions, this On-Demand module will teach statistical techniques you can put to immediate use in your workplace

Course Objectives

Upon successful completion of this course, the delegates will be able to:

  • Reduce the number of measurements required for certain applications
  • Enhance your ability to extract more meaningful data from your experimental data sets
  • Reduce the number of measurements required for certain applications
  • Learn useful and unambiguous recipes for analyzing data
  • Gain confidence in the use of basic statistical methods
  • Learn how to best utilize MS Excel functions to analyze experimental data
  • Improve your decision-making abilities
  • Understand the language of data statistics
  • Learn new ways to look at data

Course Outline

Day 1

  • Introduction to Statistics and MS Excel
  • Measurement
  • Calibration and traceability
  • Why do we need data analysis?
  • Three types of error

Day 2

  • Accuracy and precision
  • Significant figures
  • Population and Sample
  • Mean, Variance and Standard Deviation
  • Measurement
  • Accuracy And Precision
  • Standard Deviation
  • Decisions
  • Confidence Intervals
  • Statistical Samples
  • Means

Day 3

  • Standard Deviations
  • Student’s t
  • Statistical Testing
  • Values And Power
  • Algebra And Logic
  • Hypothesis Testing
  • Pooling
  • Formal Statistical Tests
  • One-Sample t Test
  • Two-Sample t Test

Day 4

  • Paired t Test
  • Fisher’s F Test
  • One-Way ANOVA
  • Outliers
  • Central Limit Theorem

Day 5

  • Sensitivity
  • Selectivity
  • Limit Of Detection
  • Minimum Detectable Amount
  • Limit Of Quantization

Course Methodology

A variety of methodologies will be used during the course that includes:

  • (30%) Based on Case Studies
  • (30%) Techniques
  • (30%) Role Play
  • (10%) Concepts
  • Pre-test and Post-test
  • Variety of Learning Methods
  • Lectures
  • Case Studies and Self Questionaires
  • Group Work
  • Discussion
  • Presentation

Who should attend

This course is intended for all laboratory technicians, scientists, engineers, laboratory managers, R&D managers, manufacturing and production managers, and others who need to understand statistical methods for data analysis. This course is suitable for your professionals who does not previous knowledge of statistics

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