The data for EDA (Project 3) is taken from "Factors which affect the number of Aerosol particles released by clean room operators" by W. Kahn and C. Baczkowski [ in Statistical Case Studies for Industrial Process Improvement edited by V. Czitrom and P.D. Spagon]

Problem: One of the major sources of wafer contamination is a micron sized airborne particle called aerosol particle and people (operators) can be the largest source of such contamination in clean rooms. To see whether there is any significant variation from person-to-person, day-to-day, the type of bunny suits (clean room garments), etc, an experimental study was conducted.

Factors: The factors considered in this experiment are as follows:

1. Garment type - POLY (Polyester) and EPTFE (expanded ploytetrafluoroethylene laminate)
2. Garment Size - Small, Medium and Large
3. Person - Two people of each size (6 people total)
4. Day - Each person tested on two days
5. Time - Each person tested at two times on each day tested
6. Garment - Two garments for each type of each size (12 total)
7. Location - Sampled at workstation level (near hand level) and pedestal level (near foot level)
8. Protocol - Three activities: deep knee bends (DKBS), marching and slapping (MARCH), and reaching (REACH)

The response variables are the aerosol counts at six possible combinations (two locations and three protocols). Data is stored in Minitab file : EDA_Pr_3.MTW which can be downloaded from my directory in Eniac server (Applied Mathematics Laboratory). The columns are labeled to reflect the factors. Thus, P_REACH corresponds to the sample data for pedestal level reaching. The last column (MLCOUNT) is the mean of Log (base 10) of each of the six response variables. Counts of 0 were replaced with counts of 1 when taking the logarithm.