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ST 260

Introduction to Statistics

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Numerical and visual exploratory data analysis; probability models; point and interval estimation; bias and mean squared error of estimators; single-sample, paired and two-sample inference and hypothesis testing; introduction to experimental design and analysis of variance; introduction to goodness of fit and categorical data analysis; a thorough development of the simple linear regression model. Prerequisites: ST259 Exclusions: MA240, MA241, BU205, EC205, BU255, EC255, EC285, ST230, ST231. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in MA240.]

Numerical and visual exploratory data analysis; probability models; point and interval estimation; bias and mean squared error of estimators; single-sample, paired and two-sample inference and hypothesis testing; introduction to experimental design and analysis of variance; introduction to goodness of fit and categorical data analysis; a thorough development of the simple linear regression model. Prerequisites: ST259 Exclusions: MA240, MA241, BU205, EC205, BU255, EC255, EC285, ST230, ST231. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in MA240.]

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Numerical and visual exploratory data analysis; probability models; point and interval estimation; bias and mean squared error of estimators; single-sample, paired and two-sample inference and hypothesis testing; introduction to experimental design and analysis of variance; introduction to goodness of fit and categorical data analysis; a thorough development of the simple linear regression model. Prerequisites: ST259 Exclusions: MA240, MA241, BU205, EC205, BU255, EC255, EC285, ST230, ST231. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in MA240.]


ST 260

Introduction to Statistics

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Numerical and visual exploratory data analysis; probability models; point and interval estimation; bias and mean squared error of estimators; single-sample, paired and two-sample inference and hypothesis testing; introduction to experimental design and analysis of variance; introduction to goodness of fit and categorical data analysis; a thorough development of the simple linear regression model. Prerequisites: ST259 Exclusions: MA240, MA241, BU205, EC205, BU255, EC255, EC285, ST230, ST231. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in MA240.]

Numerical and visual exploratory data analysis; probability models; point and interval estimation; bias and mean squared error of estimators; single-sample, paired and two-sample inference and hypothesis testing; introduction to experimental design and analysis of variance; introduction to goodness of fit and categorical data analysis; a thorough development of the simple linear regression model. Prerequisites: ST259 Exclusions: MA240, MA241, BU205, EC205, BU255, EC255, EC285, ST230, ST231. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in MA240.]

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Numerical and visual exploratory data analysis; probability models; point and interval estimation; bias and mean squared error of estimators; single-sample, paired and two-sample inference and hypothesis testing; introduction to experimental design and analysis of variance; introduction to goodness of fit and categorical data analysis; a thorough development of the simple linear regression model. Prerequisites: ST259 Exclusions: MA240, MA241, BU205, EC205, BU255, EC255, EC285, ST230, ST231. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in MA240.]


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ST 260 Prerequisites

ST 259 (Min. Grade D-)

ST 260 Leads To

BU 275, BU 422, BU 425, BU 467, BI 308, BU 223, BU 225, DATA 200, EC 295, MA 371, MA 477, ST 362, ST 474, ST 344, ST 361

ST 260 Restrictions

Must be enrolled in one of the following Levels:

Undergraduate (UG)

Cannot be enrolled in one of the following Fields of Study (Major, Minor, Concentration or Partner Institution):

Applied Economics (APEC)

Business Administration (BUSI)

Economics and Accounting (ECAC)

Economics and Financial Mgmt (ECFN)

Economics (ECON)

Course Schedule