|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Preq., consent of instructor. An advanced study of stage directing, focusing on research, analysis, style, and preparation. Practical application of material covered is required.
-
3.00 Credits
Preq., Consent of Instructor. A seminar course in stage directing with the subjects of investigation to vary according to need. Practical application of material covered is required.
-
3.00 Credits
Preq., Mathematics ACT score is greater than or equal to 26, or Mathematics ACT score is greater than or equal to 590, or Placement by Exam, or MATH 101. Sample statistics, frequencies, normal and binomial distributions, point and interval estimation, significance testing, linear regression. Statewide Transfer Agreement Course*.
-
3.00 Credits
Preq., MATH 101, junior standing and consent of the instructor; non-COES majors only. Understanding and applying: descriptive statistics, p-values, estimation, significance, regression, correlation. Use of packaged computer programs. (G)
-
3.00 Credits
Preq., MATH 242,. Data description, discrete and continuous random variables, inferences about means and variances of populations, categorical data, regression, correlation, analysis of variance, computers in data analysis. (G) Credit will not be given for STAT 405 if credit is given for STAT 505.
-
3.00 Credits
Preq., MATH 242 or equivalent. Random variables and distributions, reliability, quality control, analysis of variance and regression, categorical data analysis, distribution-free methods, use of SAS in data analysis. Credit will not be given for STAT 505 if graduate credit is given for STAT 405.
-
3.00 Credits
Preq., STAT 405 or equivalent. Simple and multiple regression, inferences in regression, model formulation and diagnostics, analysis of covariance, nonlinear models, estimation and inference. Use of computers in data analysis.
-
3.00 Credits
Preq., STAT 405 or equivalent. Analysis of variance for standard and unbalanced experimental designs, multiple comparisons, fixed, random, and mixed effects models. Use of computers for data analysis.
-
3.00 Credits
Preq., STAT 506, 507,. Least squares, fractional factorials, Taguchi's parameter design, performance criteria, second-order designs, fitting second-order models, exploration of response surfaces, optimization.
-
3.00 Credits
Preq., STAT 506 or 507, or equivalent. Factorial and fractional factorial experiments, incomplete block designs, repeated measures, split-plot, response surface, cross-over designs, use of computers for data analysis.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|