Quality control tests in pharmaceutical industry carries a burden on its own, as these tests are usually complicated, time consuming and expensive, and in many cases wrong interpretation of test results lead to disastrous situations. Any QC test is not considered successful until the resulting data are analyzed statistically and are complied within specifications limits. Wrong interpretation of the tests results can cost the company since it can end with a perfectly good batch being rejected.
Statistics in QC is a crucial element in deciding the acceptance or rejection of a product. Statistical interpretation of the test results is key to the complete understanding of tests results and criteria, and statistics based sampling plans is key to a comprehensive and efficient sampling system.
This informative webinar will qualify the attendee as a Quality Control professional and will cover all about statistical interpretation related to Quality Control test results and process indicators in the pharmaceutical industry.
Areas Covered in the Seminar:
- Quality Statistical Terminology and Equations.
- Type of errors.
- Control Charts.
- Interpretation of control charts.
- Process capability.
- Acceptance sampling.
- Sampling plans.
- Case study.
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