Amelia McNamara portrait

Amelia McNamara

Assistant Professor
Office
OSS 407
Phone
(651) 962-5391

Summer 2019 Courses

Summer 2019 Courses
Course - Section Title Days Time Location

Fall 2019 Courses

Fall 2019 Courses
Course - Section Title Days Time Location
STAT 220 - 04 Statistics I - T - R - - - 1330 - 1510 OWS 150

Days of Week:

- T - R - - -

Time of Day:

1330 - 1510

Location:

OWS 150

Course Registration Number:

40713 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Amelia A. McNamara

NOTE: Students registering for lecture STAT 220 04 must also register for lab 60, 61, or 62. Formerly IDTH 220. Statistics I is composed of an in-depth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and software-specific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201.

Schedule Details

Location Time Day(s)
STAT 320 - D01 Statistics II M - W - - - - 1335 - 1510 OSS 429

Days of Week:

M - W - - - -

Time of Day:

1335 - 1510

Location:

OSS 429

Course Registration Number:

41513 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Amelia A. McNamara

Applied linear regression models. Simple linear regression; introduction, inferences, diagnostics, remedial measures, simultaneous inference. Matrix approach in linear regression. Multiple regression; inference, remedial measures, extra sums of squares, partial determinations, standardized models, use of indicator and mixed variables, polynomial regression, model selection and validation, diagnostics, remedial measures, multicollinearity and effects, autocorrelation. Single and multi-factor analysis of variance: analysis of factor level means, interactions, inferences, diagnostics and remedial measures. A statistical package must be used as tool. Optional topics may include: logistic regression, design of experiments, and forecasting. Prerequisite: One of the following, STAT 201, STAT 220, STAT 333, MATH 303

Schedule Details

Location Time Day(s)
STAT 320 - D02 Statistics II M - W - - - - 1525 - 1700 OSS 429

Days of Week:

M - W - - - -

Time of Day:

1525 - 1700

Location:

OSS 429

Course Registration Number:

42550 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Amelia A. McNamara

Applied linear regression models. Simple linear regression; introduction, inferences, diagnostics, remedial measures, simultaneous inference. Matrix approach in linear regression. Multiple regression; inference, remedial measures, extra sums of squares, partial determinations, standardized models, use of indicator and mixed variables, polynomial regression, model selection and validation, diagnostics, remedial measures, multicollinearity and effects, autocorrelation. Single and multi-factor analysis of variance: analysis of factor level means, interactions, inferences, diagnostics and remedial measures. A statistical package must be used as tool. Optional topics may include: logistic regression, design of experiments, and forecasting. Prerequisite: One of the following, STAT 201, STAT 220, STAT 333, MATH 303

Schedule Details

Location Time Day(s)

J-Term 2020 Courses

J-Term 2020 Courses
Course - Section Title Days Time Location