Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

STT 442  Probability and Statistics II: Statistics

Description:
Estimation, tests of hypotheses, confidence intervals. Goodness of fit, non-parametric methods. Linear models, multiple regression, ANOVA.
Effective Dates:
FS98 - US99


STT 442  Probability and Statistics II: Statistics

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Recommended Background:
STT 441 and MTH 314
Description:
Estimation, tests of hypotheses, confidence intervals. Goodness of fit, non-parametric methods. Linear models, multiple regression, ANOVA.
Effective Dates:
FS99 - US06


STT 442  Probability and Statistics II: Statistics

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Recommended Background:
STT 441 and (MTH 309 or MTH 314 or MTH 415)
Description:
Estimation, testing hypotheses and simple and multiple regression analysis. Time series: ARMA (Auto Regressive Moving Average) and ARIMA (Auto Regressive Integrated Moving Average) models, data analysis and forecasting.
Effective Dates:
FS06 - US14


STT 442  Probability and Statistics II: Statistics

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 441 and (MTH 309 or MTH 314 or MTH 317H or MTH 415)
Description:
Estimation, testing hypotheses and simple and multiple regression analysis. Time series: ARMA (Auto Regressive Moving Average) and ARIMA (Auto Regressive Integrated Moving Average) models, data analysis and forecasting.
Effective Dates:
FS14 - US17


STT 442  Probability and Statistics II: Statistics

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 441 and (MTH 309 or MTH 314 or MTH 317H or MTH 415)
Description:
Parameter estimation, sampling distributions, confidence intervals, hypothesis testing, simple and multiple regression, analysis of variance. Time series models, data analysis and forecasting
Effective Dates:
FS17 - Open