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|STAT 35000 - Introduction To Statistics|
Credit Hours: 3.00. A data-oriented introduction to the fundamental concepts and methods of applied statistics. Exploratory analysis of data. Sample design and experimental design. Probability distributions and simulation. Sampling distributions. The reasoning of statistical inference. Confidence intervals and tests for one and two samples. Inference for contingency tables, regression, and correlation. Introduction to regression with several explanatory variables. Essential use is made of statistical software throughout. Intended primarily for students majoring in the mathematical sciences. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, 30301, 35000, 35500, 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: two semesters of college calculus.
0.000 OR 3.000 Credit hours
Levels: Graduate, Professional, Undergraduate
Schedule Types: Distance Learning, Individual Study, Lecture, Practice Study Observation, Recitation
All Sections for this Course
Offered By: College of Science
May be offered at any of the following campuses:
Learning Outcomes: 1. Understand basic terms, graphs, and symbols and be able to interpret statistics in the media. 2. Understand and be able to explain statistical processes and be able to fully interpret statistical results. 3. Understand why and how statistical investigations are conducted and the "big ideas" that underlie statistical investigations. 4. Be able to use a statistical package (R or SAS) to analyze data and interpret result. 5. Big Ideas in Statistics: variability, distributions, and models; causation vs correlation; practical significance vs statistical significance, etc.