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

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

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.