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  • 0.00 - 3.00 Credits

    Semester: Fall of every year, Spring of every year, Summer of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Prerequisite: MTH 103 or MTH 110 or MTH 116 Not open to students with credit in: STT 200 or STT 201 or STT 315 Description: Basic probability, random variables, and common distributions. Estimation and tests for one-, two-, and paired sample problems. Introduction to simple linear regression and correlation, one-way ANOVA. Effective Dates: FALL 2008 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Fall of every year, Spring of every year, Summer of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 421 Not open to students with credit in: STT 464 Description: Goodness of fit and other non-parametric methods. Linear models including multiple regression and ANOVA for simple experimental designs. Effective Dates: FALL 1999 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Fall of every year, Spring of every year, Summer of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: MTH 234 or concurrently Not open to students with credit in: STT 351 Description: Calculus-based probability and statistics with applications. Discrete and continuous random variables and their expectations. Point and interval estimation, tests of hypotheses, and simple linear regression. Effective Dates: FALL 2006 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Fall of every year, Spring of every year, Summer of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: MTH 234 or MTH 254H or LB 220 Description: Probability models and basic statistics at an intermediate mathematical level. Discrete, continuous, univariate, and multivariate distributions. Random variables. Normal approximation. Sampling distributions, parameter estimation, and elementary tests of hypotheses. Effective Dates: FALL 2008 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Spring of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 441 and (MTH 309 or MTH 314 or MTH 415) Description: Estimation, testing hypotheses and simple and multiple regression analysis. Time series: ARMA (Auto Regressive Moving Average) and ARIMA (Auto Regressive Integrated Moving Average) models, data analysis and forecasting. Effective Dates: FALL 2006 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Spring of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 441 and MTH 360 Description: Stochastic models used in insurance. Survival distributions, life insurance, life annuities, benefit premiums, benefit reserves, and analysis of benefit reserves. Interdepartmental With: Mathematics Administered By: Statistics and Probability Effective Dates: SPRING 2006 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Spring of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: CSE 131 and STT 441 and (MTH 309 or MTH 314) Description: Computer algorithms for evaluation, simulation and visualization. Sampling and prescribed distributions. Robustness and error analysis of procedures used by statistical packages. Graphics for data display, computation of probabilities and percentiles. Effective Dates: FALL 2008 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Fall of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 421 Description: Biological random variables. Estimation of population parameters. Testing hypotheses. Linear correlation and regression. Analyses of counted and measured data to compare several biological groups including contingency tables and analysis of variance. Interdepartmental With: Animal Science, Crop and Soil Sciences Administered By: Statistics and Probability Effective Dates: SUMMER 2005 - Open View all versions of this course
  • 0.00 - 3.00 Credits

    Semester: Fall of even years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 351 or STT 422 or STT 442 Description: Scientific context of quality: Box, Deming, Taguchi. Graphical techniques, control charts. Design of experiments: factorials and fractional factorials, confounding and aliasing. Engineering parameter design through experimentation. Effective Dates: FALL 1999 - SUMMER 2009 View all versions of this course
  • 0.00 - 1.00 Credits

    Semester: Spring of every year Credits:Total Credits: 1 Lecture/Recitation/Discussion Hours: 1 1(1-0) Prerequisite: Completion of Tier I writing requirement. Restrictions: Open only to seniors in the Department of Statistics. Description: Selected readings and projects illustrating special problems encountered by professional statisticians in their roles as consultants, educators, and analysts. Effective Dates: FALL 1999 - Open View all versions of this course
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