Intro to Statistical Science
Introduction to Statistical Science A practical introduction to statistical methods and the examination of data sets. Computer software will play a central role in analyzing a variety of real data sets from the natural and social sciences. Topics include descriptive statistics, elementary distributions for data, hypothesis tests, confidence intervals, correlation, regression, contingency tables, and analysis of variance. The course has no formal mathematics prerequisite, and is especially suited to students in the physical, social, environmental, and life sciences who seek an applied orientation to data analysis. (Credit is not given for MATH 0116 if the student has taken ECON 0111 (formerly ECON 0210) or PSYC 0201 previously or concurrently.)
Introduction to Statistical Science A practical introduction to statistical methods and the examination of data sets. Computer software will play a central role in analyzing a variety of real data sets from the natural and social sciences. Topics include descriptive statistics, elementary distributions for data, hypothesis tests, confidence intervals, correlation, regression, contingency tables, and analysis of variance. The course has no formal mathematics prerequisite, and is especially suited to students in the physical, social, environmental, and life sciences who seek an applied orientati …Read more
Prof Lyford is very accommodating and spends the time necessary for students to understand the material with his many office hours that he offers. Furthermore, he also makes his lectures very interactive to better allow for students to understand the material that is being presented overall 10/10.
Professor Peterson is a great professor who was able to keep a relatively boring class interesting. The workload was very manageable with weekly homework assignments and labs. Exams were not too difficult, there is just a lot of material to memorize.
Really easy course pretty much a repeat of AP stats. Alex is awesome and definitely a professor you want. There were problem sets and labs in R. The problem sets were easy and the R labs were pretty basic.
Alex is a great professor who is clearly passionate about the material. He knows R very well and you can ask him a question knowing he's not going to beat around the bush. He's very transparent and will help you move on with the question. A quick-paced class that will teach you great statistical analysis and practice.