Mindy Mccann

An introductory course in the theory and methods of statistics. Descriptive measures, elementary probability, sampling, estimation, hypothesis testing, correlation and regression. Same course as STAT 2023 or STAT 2053.Prerequisite(s): MATH 1483 or higher, except MATH 1493, with a grade of 'C' or better; or an acceptable placement score (see mathplacement.okstate.edu).

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Special subjects in statistics.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.Prerequisite(s): Consent of instructor.

Convergence concepts, Central Limit Theorem, sampling distributions, point estimation, maximum likelihood methods, Bayesian estimation, Cramer-Rao lower bound, confidence intervals. Hypothesis testing including Neyman-Pearson tests, uniformly most powerful tests, and generalized likelihood ratio tests. Course derives and explains testing and estimation included in introductory statistics courses. Useful for understanding assumptions and theory in common statistical methods. Previously offered as STAT 4223.Prerequisite(s): STAT 5123 and MATH 3013.

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Basic probability, including conditional, marginal, and joint distributions. Random variables, moments, independences and dependence, common distributions, and distributions of functions of random variables. Course explains probability calculations, the usefulness of probability, and the fundamentals required for obtaining sampling distributions. Useful in preparing for the actuarial P exam.Prerequisite(s): MATH 2163 and one other course in MATH that has either MATH 2144 or MATH 2153 as a prerequisite.

Special subjects in statistics.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.Prerequisite(s): Consent of instructor.

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Convergence concepts, Central Limit Theorem, sampling distributions, point estimation, maximum likelihood methods, Bayesian estimation, Cramer-Rao lower bound, confidence intervals. Hypothesis testing including Neyman-Pearson tests, uniformly most powerful tests, and generalized likelihood ratio tests. Course derives and explains testing and estimation included in introductory statistics courses. Useful for understanding assumptions and theory in common statistical methods. Previously offered as STAT 4223.Prerequisite(s): STAT 5123 and MATH 3013.

An introductory course in the theory and methods of statistics. Descriptive measures, elementary probability, sampling, estimation, hypothesis testing, correlation and regression. Same course as STAT 2023 or STAT 2053.Prerequisite(s): MATH 1483 or higher, except MATH 1493, with a grade of 'C' or better; or an acceptable placement score (see mathplacement.okstate.edu).

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Basic probability, including conditional, marginal, and joint distributions. Random variables, moments, independences and dependence, common distributions, and distributions of functions of random variables. Course explains probability calculations, the usefulness of probability, and the fundamentals required for obtaining sampling distributions. Useful in preparing for the actuarial P exam.Prerequisite(s): MATH 2163 and one other course in MATH that has either MATH 2144 or MATH 2153 as a prerequisite.

Basic probability, including conditional, marginal, and joint distributions. Random variables, moments, independences and dependence, common distributions, and distributions of functions of random variables.Course explains probability calculations, the usefulness of probability, and fundamentals required for obtaining sampling distributions. Useful in preparing for the actuarial P exam. May not be used for degree credit with STAT 4203, STAT 5123 and STAT 5253.Prerequisite(s): MATH 2163 and either MATH 2233 or MATH 3013.

Basic statistics course for undergraduate business majors. Descriptive statistics, basic probability, discrete and continuous distributions, point and interval estimation, hypothesis testing, correlation and simple linear regression. Same course as STAT 2013 or STAT 2053.Prerequisite(s): MATH 1483 or higher, except MATH 1493, with a grade of 'C' or better; or an acceptable placement score (see mathplacement.okstate.edu).

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Convergence concepts, Central Limit Theorem, sampling distributions, point estimation, maximum likelihood methods, Bayesian estimation, Cramer-Rao lower bound, confidence intervals. Hypothesis testing including Neyman-Pearson tests, uniformly most powerful tests, and generalized likelihood ratio tests. Course derives and explains testing and estimation included in introductory statistics courses. Useful for understanding assumptions and theory in common statistical methods. Previously offered as STAT 4223.Prerequisite(s): STAT 5123 and MATH 3013.

An introductory course in the theory and methods of statistics. Descriptive measures, elementary probability, sampling, estimation, hypothesis testing, correlation and regression. Same course as STAT 2023 or STAT 2053.Prerequisite(s): MATH 1483 or higher, except MATH 1493, with a grade of 'C' or better; or an acceptable placement score (see mathplacement.okstate.edu).

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Basic probability, including conditional, marginal, and joint distributions. Random variables, moments, independences and dependence, common distributions, and distributions of functions of random variables. Course explains probability calculations, the usefulness of probability, and the fundamentals required for obtaining sampling distributions. Useful in preparing for the actuarial P exam.Prerequisite(s): MATH 2163 and one other course in MATH that has either MATH 2144 or MATH 2153 as a prerequisite.

An introductory course in the theory and methods of statistics. Descriptive measures, elementary probability, sampling, estimation, hypothesis testing, correlation and regression. Same course as STAT 2023 or STAT 2053.Prerequisite(s): MATH 1483 or higher, except MATH 1493, with a grade of 'C' or better; or an acceptable placement score (see mathplacement.okstate.edu).

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.

Investigation of special problems in the theory and application of statistics using current techniques. Special studies for PhD level students.Offered for variable credit, 1-6 credit hours, maximum of 12 credit hours.Prerequisite(s): Consent of instructor.

Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Prerequisite(s): MATH 2133 or MATH 2163.