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This workshop, conducted in lecture/tutorial style, with
generous doses of hands-on, is designed to equip R&D engineers
with the rudiments of statistical analysis, to help them
execute the following functions with more confidence and
authority …
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Design Qualification test plans
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Interpret qualification test results
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Determine sampling plans for various tests and
data-collection exercises
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Predict product performance in the field, based on
available data
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Day 1
Histograms
Mean and std deviation
Populations and samples
Normal distributions
The Standard z-distribution
Estimating %tage out-of-spec
Central Limit Theorem
Understanding Cpk
Day 2
Nature of data
Confidence intervals, for
- Population means
- Population proportions
Hypothesis testing
- Concept
- Methodology
- Choice of test statistic
- Choice of Confidence level
Day
3
t-tests
- independent t-tests
- paired t-tests
Test for equality of variances
Independent t-test for case of unequal
variances
Chi-square tests
Case studies/Analysis |
