Reasonable accommodation is defined as any change in the work environment or in the way business is usually conducted that results in equal employment opportunity for an individual with a disability. With the Americans with Disabilities Act in full swing and more than 35,000 court cases on record, there is much to be done to get most companies into compliance. Reasonable Accommodation: Profitable Compliance with the Americans with Disabilities Act was designed to provide those responsible for diversity and implementing the ADA with specific benchmark examples of how companies have provided accommodations that have had a positive impact on profitability, quality, employee and customer relations. This masterfully written book covers many important topics dealing directly with the ADA. It also provides numerous technologies available that can greatly increase productivity and quality of performance for disabled employees, as well as a "who's who" of case studies including: AT&T, Boeing, Federal Express, Ford Motor Co., Bank of America, Digital Equipment, General Electric Co., IBM, Motorola, WAUSAU Insurance Co., Sears Roebuck, Philip Morris, and many more.

A: Placing Data in Context; 1: Practical Data Analysis; 2: Collaboration in Science; 3: Experimental Design; B: Working with Groups of Data; 4: Group Summaries; 5: Comparing Several Means; 6: Multiple Comparisons of Means; C: Sorting out Effects with Data; 7: Factorial Designs; 8: Balanced Experiments; 9: Model Selection; D: Dealing with Imbalance; 10: Unbalanced Experiments; 11: Missing Cells; 12: Linear Models Inference; E: Questioning Assumptions; 13: Residual Plots; 14: Comparisons with Unequal Variance; 15: Getting Free from Assumptions; F: Regressing with Factors; 16: Ordered Groups; 17: Parallel Lines; 18: Multiple Responses; G: Deciding on Fixed or Random Effects; 19: Models with Random Effects; 20: General Random Models; 21: Mixed Effects Models; H: Nesting Experimental Units; 22: Nested Designs; 23: Split Plot Design; 24: General Nested Designs; I: Repeating Measures on Subjects; 25: Repeated Measures as Split Plot; 26: Adjustments for Correlation; 27: Cross-over Design