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Acms cplot6/13/2023 This course is proposed to satisfy one university mathematics requirement. Credit is not given if a student takes both ACMS 10145 and ACMS 10140 or ACMS 10145 and ACMS 10141. Calculations will be illustrated in Microsoft Excel. Not eligible for science credit for students in the College of Science. Many examples will be based on real, current business and economics datasets. Introduction to statistical inference: confidence intervals and hypothesis tests. Basic probability theory and probability models for random variables. Descriptive statistics: graphical methods, measures of central tendency, spread, and association. Statistics for Business IĪ conceptual introduction to the science of data for students of business. This course counts only as general elective credit for students in the College of Science. drug testing, wild animal counts), the social sciences, psychology, and economics. Examples will be taken from biology and medicine (e.g. Care will be exercised to select a variety of situations from the many fields where statistics are used in modern society. Concepts and terminology will be introduced only after thorough exposure to situations that necessitate the concepts and terms. The methodology will focus on a hands-on approach. Topics include statistical decision making, sampling, data representation, random variables, elementary probability, conditional probabilities, independence, and Bayes’ rule. This course is intended for those students who may or may not plan to use statistics in their chosen careers, but wish nevertheless to become informed and astute consumers.
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