Basic Statistical Analysis of Laboratory Data

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

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

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

Course Fees

This rate includes participant’s manual, Hand-Outs, buffet lunch, coffee/tea on arrival, morning & afternoon of each day.

Course Timings

Daily Course Timings
08:00 - 08:20 Morning Coffee / Tea
08:20 - 10:00 First Session
10:00 - 10:20 Coffee / Tea / Snacks
10:20 - 12:20 Second Session
12:20 - 13:30 Lunch Break & Prayer Break
13:30 - 15:00 Last Session