STAT 315 Intro to Theory and Practice of Statistics Credits: 3 (3-0-0)
Course Description: Descriptive statistics, probability theory, random variables, sampling distributions, hypothesis testing, confidence intervals, ANOVA, simple and multiple regression. R software is utilized for analyzing real world data sets.
Prerequisite: MATH 155 or MATH 156 or MATH 159 or MATH 160.
Terms Offered: Fall, Spring, Summer.
Grade Mode: Traditional.
Special Course Fee: No.
Major in Statistics
http://catalog.colostate.edu/general-catalog/colleges/natural-sciences/statistics/statistics-major/
Statistics is the science of modeling, summarizing, and analyzing data. Statisticians help people produce trustworthy data, analyze the data, and present the results in a useful manner. Statisticians work with people from other professional backgrounds to solve practical problems. They provide crucial guidance in determining what information is reliable and which predictions can be trusted. An exciting aspect of the field is the diversity of areas where statistical methods are used; this is one reason for continuing strong demand for well-trained statisticians. With the popularity of big data and the focus on quantitative analysis in many fields, there will continue to be a high demand for graduates with a statistics major or minor. Students who succeed in the field of statistics typically have strong quantitative skills, analytical minds, and like to help other people solve problems.
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Major in Computer Science, Computer Science Concentration
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Major in Natural Sciences, Physics Education Concentration
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Dual Degree Program: Biomedical Engineering combined with Chemical and Biological Engineering
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Dual Degree Program: Biomedical Engineering combined with Mechanical Engineering
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