Please note that we need about 3 months preparation for the organisation of your in-house training course.
Below is an example of a 3 day inhouse training course.
This is a three-day practical course aimed at teaching the most important basic statistical tools required by personnel of Quality Control, Quality Assurance and Research and Development Laboratories. The course includes hands-on training with Minitab® 18 software for solving a vast amount of examples and exercises by the participants from the pharmaceutical industry. The course is intended to teach you statistical tools for answering the following common questions:
Introduction
Acquaintance with Minitab® 18
Organization and presentation of data
How variable are your results?
precision, variance
standard deviation and geometric standard deviation, outlier tests, method repeatability and intermediate precision)
How comparable are your results?
t-Test for a single average, for two averages, paired t-test
uncertainty of a result
How selective are your results?
Types of errors: Types 1 and 2 (Example: False OOS results in testing API)
Confounding results
Power of a test
Statistics of Linear Curves
least square regression
quality of fit to a linear curve
when a single-point calibration curve is justified
confidence interval of a line
understanding the shelf-life of a drug product
How specific are your results?
beta error
power of a calculation
How equivalent are your results?
comparability of two sets of results by two methods/instruments/Analysts