Fld Based/Comm Based Edu
A community- or field-based experience in Spanish under the supervision of a faculty member. May be repeated to a maximum of 15 credits. PASS/FAIL ONLY. Approval of A&S Dean required for credits above six per semester.
Fld Based/Comm Based Edu
A community- or field-based experience in Spanish under the supervision of a faculty member. May be repeated to a maximum of 15 credits. PASS/FAIL ONLY. Approval of A&S Dean required for credits above six per semester.
Dissertation Residency Credit
Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.
Dissertation Residency Credit
Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.
Intro To Statistical Reasoning
The goal of this course is to help students develop or refine their statistical literacy skills. Both the informal activity of human inference arising from statistical constructs, as well as the moral formal perspectives on statistical inference found in confidence intervals and hypothesis tests are studied. Throughout, the emphasis is on understanding what distinguishes good and bad inferential reasoning in the practical world around us.
Intro To Statistical Reasoning
The goal of this course is to help students develop or refine their statistical literacy skills. Both the informal activity of human inference arising from statistical constructs, as well as the moral formal perspectives on statistical inference found in confidence intervals and hypothesis tests are studied. Throughout, the emphasis is on understanding what distinguishes good and bad inferential reasoning in the practical world around us.
Statistical Methods And Motivations
Introduction to principles of statistics with emphasis on conceptual understanding. Students will articulate results of statistical description of sample data (including bivariate), application of probability distributions, confidence interval estimation and hypothesis testing to demonstrate properly contextualized analysis of real-world data.
Statistical Methods And Motivations
Introduction to principles of statistics with emphasis on conceptual understanding. Students will articulate results of statistical description of sample data (including bivariate), application of probability distributions, confidence interval estimation and hypothesis testing to demonstrate properly contextualized analysis of real-world data.
Introduction To Probability And Inference
Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course provides an elementary introduction to probability and statistics with applications. Topics include how to think about uncertainty and randomness, how to make good predictions, basic combinatorics, graphical and numerical descriptive statistics, probability spaces, random variables and their distributions, sampling distributions, point estimation, confidence intervals, hypothesis tests, repeated trials, probability limit theorems.
Engr Stats-A Conceptual Approach
Data collection, description, and factor "association" versus causal relationship; "Confidence" - statistical versus practical; and Hypothesis testing - All of these covered in a conceptual approach while relying heavily on the mathematical language of probability (e.g., population and sample distributions; sampling; regression on one variable) and use of simulated and real data.