Industrial Hygiene Exposure Assessment: The Good, Bad, and

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Statistical Analysis of Exposure Data � There is help to do this automatically with IH-MOD
Industrial Hygiene Statistics OEL 0.15 Sample data 0.06 Descriptive statistics 0.1 Number of samples (n) 15 0.05 Maximum (max) 0.2 0.1 Minimum (min) 0.01 0.01 Range 0.19 0.09 Mean 0.0713 0.04 Median 0.07 0.2 Standard deviation (s) 0.0453 0.04 Geometric mean 0.0584 0.08 Geometric standard deviation 2.03 0.08 Percent above OEL 6.7% 0.03 0.09 Test for distribution fit 0.03 W-test of log-transformed data 0.932 0.07 Lognormal (α = 0.05) ? Yes W-test of data 0.870 Normal (α = 0.05) ? No Lognormal parametric statistics Estimated Arithmetic Mean - AM est. 0.074 LCL1,95% - Land's "Exact" 0.055 UCL1,95% - Land's "Exact" 0.116 95th Percentile 0.187 UTL95%,95% 0.359 Percent above OEL 9.1% LCL1,95% %>OEL 2.82 UCL1,95% %>OEL 23.4 Normal parametric statistics Mean 0.0713 LCL1,95% - t statistics 0.051 UCL1,95% - t statistics 0.092 95th Percentile - Z 0.146 UTL95%,95% 0.188 Percent above OEL 4.1% C D Concentration 0.25 0.2 0.15 0.1 0.05 0 0 14 2 4 6 8 10 12 14 n 16 12 10 8 6 4 2 0 LCL est. AM UCL OEL Idealized Lognormal Distribution 95%ile Sequential Data Plot 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 Concentration UTL
Page 1 and 2:
Industrial Hygiene Exposure Assessm
Page 3 and 4: Exposure Assessment � Do we do a
Page 5 and 6: Where we Started � 1977 NIOSH Doc
Page 7 and 8: 1977 NIOSH Guidance
Page 9 and 10: 1977 NIOSH Guidance � What is the
Page 11 and 12: Exposure Assessment The Good
Page 13 and 14: AIHA Exposure Assessment Strategy o
Page 15 and 16: Example Basic Characterization Spre
Page 17 and 18: AIHA Exposure Assessment Strategy
Page 19 and 20: Exposure Point Inventories Mark Bet
Page 21 and 22: The AIHA Model Exposure Control Rat
Page 25 and 26: Ranking Qualitative Exposure Determ
Page 27 and 28: Statistical Analysis of the Selecti
Page 29 and 30: Qualities that Effect Choice - Part
Page 36 and 37: West Michigan Industrial Hygiene So
Page 38 and 39: The Bad - Statistics � What do th
Page 40 and 41: Distributions with a Mean=1, Are th
Page 42 and 43: Example: Welding fume data - estima
Page 44 and 45: Example: Welding fume data - estima
Page 46 and 47: Sample 95 th Percentile Exposure
Page 48 and 49: 90 th , 95 th , and 99 th Percentil
Page 50 and 51: Alternative upper percentile formul
Page 52 and 53: Upper Confidence Limit - 95% Confid
Page 58 and 59: Statistical Analysis of Exposure Da
Page 60 and 61: Exposure Assessments - The Better?
Page 62 and 63: The AIHA Model Exposure Control Rat
Page 64 and 65: R.O.T. for Estimating the 95 th Per
Page 66 and 67: Bayesian Decision Analysis - BDA
Page 68: AIHA Exposure Assessment Strategy
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Industrial Hygiene Exposure Assessment: The Good, Bad, and

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