Dates: 09/03 - 12/19
M	T	W	Th	F	Sa	Su
	1:30 pm 3:10 pm OSS 325		1:30 pm 3:10 pm OSS 325

Subject: Statistics (STAT)

CRN: 42221

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 325

  Natasa Dragovic

Probability theory in discrete and continuous sample spaces; random variables and distribution functions; moments; the moment-generating function; functions of random variables; law of large numbers; central limit theorem. Prerequisites: A grade of C- or above in MATH 200 (may be taken concurrently with consent of instructor). NOTE: Students who receive credit for STAT 313 may not receive credit for STAT 303.

4 Credits

Current Book List

Dates: 09/03 - 12/19
M	T	W	Th	F	Sa	Su
9:35 am 10:40 am OSS 214		9:35 am 10:40 am OSS 214		9:35 am 10:40 am OSS 214

Subject: Statistics (STAT)

CRN: 42222

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 214

Requirements Met:
     School of Ed Transfer Course

  Nick Clark

Students will learn the theory and applications of point estimation, interval estimation, and hypothesis testing. Students will construct intervals and tests using a variety of statistical tools including frequentist statistical theory, Bayesian statistical theory, and resampling-based simulation. Prerequisites: Grades C- or higher in MATH 240 and STAT 313. NOTE: Students who receive credit for STAT 314 may not receive credit for STAT 303.

4 Credits

Current Book List

Dates: 09/03 - 12/19
M	T	W	Th	F	Sa	Su
12:15 pm 1:20 pm OWS LL54		12:15 pm 1:20 pm OWS LL54		12:15 pm 1:20 pm OWS LL54

Subject: Statistics (STAT)

CRN: 42223

In Person | Lecture

St Paul: Owens Science Hall LL54

Requirements Met:
     School of Ed Transfer Course
     Writing in the Discipline

  Nick Clark

The course introduces the theory and applications of simple and multiple regression methods, including model construction and selection, transformation of variables and residual analysis; introduction to GLM (generalized linear models) for categorical and count response variables; time series analysis with ARIMA (autoregressive integrated moving average models). Students are introduced to principles of data collection and analysis, learn to work with statistical literature. Students present a writing intensive small group course project. Prerequisites: Grades C- or higher in MATH 240 and in STAT 303 or STAT 314.

4 Credits

Current Book List