Statistical random sampling messing time records in wage and hour litigation

Many employer time records are still in paper format that is not easily machine readable.  Analyzing these data in a wage and hour case typically requires manual entry of the records.  However, entering in all the time records is not always feasible.  In these situations a statistical random sampling of records can be useful and informative.   A solid statistical sampling alows the researcher to calculate error rates which are useful when making inferences concerning the time records.

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Dwight Steward, Ph.D.

Dr. Steward regularly writes and speaks on topics involving business and individual economic damages, employment audits, and the analysis of payroll and time data in wage and hour investigations. Dr. Steward has also held teaching positions at The University of Texas-Austin in the Department of Economics and in the Red McCombs School of Business, The College of Business at Sam Houston State University, and at The University of Iowa. He has taught numerous courses in statistics, corporate finance, labor economics, business policies, managerial economics, and microeconomics.