In times when information flows in unparallel speeds and quantities, statistics is the vehicle to process data and facts par excellence. Academic disciplines rely heavily on statistics in order to conduct time-efficient collection and data analysis. The interpretation of such data has a pervasive effect in the everyday life-mechanics, especially when utilized to substantiate future actions and decisions. The lectures will explore ramifications of seemingly innocuous statistical analysis when applied in real life scenarios.
Wolfgang Härdle (Humboldt-Universität zu Berlin) will talk about “Pensions, lotteries, financial markets: measuring the statistical risk”. Dr. Härdle will discuss Statistical Science as the common denominator in the answer to questions such as: can we utilize statistical charts to measure hot numbers in lottery? , when is a good time for retirement? , is it possible to estimate the risk that comes along with such issues? Is this data all that reliable?
Raymond J. Carroll (Texas A&M University) will discuss whether measuring dietary intake is possible, and its dietary applications. Newspaper articles routinely report the results of epidemiological studies that document the close relationship between what we eat and disease outcomes: heart disease and various forms of cancer. Dr. Carroll will focus on a basic question of study design: How do we measure food intake? Then, he will proceed to discuss how links between disease and nutrient intakes are the exception, rather than the rule.
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