Knudson, Christina

Assistant Professor
Office
OSS 222
Phone
(651) 962-5521
Fax
651-962-5670
Mail
OSS 201

Fall 2017 Courses

Fall 2017 Courses
Course - Section Title Days Time Location
STAT 314 - 01 Mathematical Statistics M - W - F - - 1055 - 1200 BEC LL03
CRN: 40893 4 Credit Hours Instructor: Christina P. Knudson Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; non-parametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who recieve credit for MATH 314 may not receive credit for MATH 303.

Schedule Details

Location Time Day(s)
STAT 314 - 02 Mathematical Statistics M - W - F - - 1215 - 1320 BEC 101
CRN: 41177 4 Credit Hours Instructor: Christina P. Knudson Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; non-parametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who recieve credit for MATH 314 may not receive credit for MATH 303.

Schedule Details

Location Time Day(s)

J-Term 2018 Courses

J-Term 2018 Courses
Course - Section Title Days Time Location

Spring 2018 Courses

Spring 2018 Courses
Course - Section Title Days Time Location
STAT 314 - 01 Mathematical Statistics M - W - - - - 1525 - 1700 OSS 226
CRN: 21077 4 Credit Hours Instructor: Christina P. Knudson Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; non-parametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who recieve credit for MATH 314 may not receive credit for MATH 303.

Schedule Details

Location Time Day(s)
STAT 333 - D01 Applied Statistical Methods - T - R - - - 0955 - 1135 OSS 227
CRN: 20702 4 Credit Hours Instructor: Christina P. Knudson Regression and exponential smoothing methods; Stochastic Time Series: auto- and cross-correlation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor

Schedule Details

Location Time Day(s)
STAT 333 - D02 Applied Statistical Methods - T - R - - - 1330 - 1510 OSS 227
CRN: 21092 4 Credit Hours Instructor: Christina P. Knudson Regression and exponential smoothing methods; Stochastic Time Series: auto- and cross-correlation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor

Schedule Details

Location Time Day(s)