German Pliego

Associate Professor
Degree
ASQ Certified Quality Engineering, No. 36921, ASQC, June 1997.
Ph.D. 1991, Statistics, Purdue University
M.S. 1989, Mathematical Statistics, Purdue University
M.S. 1985, Decision Making, State of Mexico University
M.B.A. 1983, State of Mexico University
M.S. 1982, Statistics, Social Security Studies Center
M.S. 1982, Actuarial Sciences, Social Security Studies Center
B.S. 1977, Business Administration, State of Mexico University
Office
OSS 410
Phone
(651)962-5377
Mail
University of St. Thomas
Mail Number OSS 402
2115 Summit Avenue
St. Paul, MN 55105

Professional Interests

Areas of research:

•     Expert System: The Virtual Statistician
•     How to teach introductory statistics
•     Problem based learning and the teaching of statistics
•     Basic Statistical Problem Solver
•     Statistical applications in general
•     Statistics in pricing and valuing financial derivatives
•     Finding new ways of measuring volatility in energy markets
•     Sampling and surveys technically supported.
•     Quality Control: Shewhart control charts with flexible producer’s and consumer’s risks.

Summer 2014 Courses

Summer 2014 Courses
Course - Section Title Days Time Location
STAT 220 - 01 Statistics I M T W R - 1015 - 1215 OSS 313
CRN: 30051 4 Credit Hours Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chi-square, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201

Fall 2014 Courses

Fall 2014 Courses
Course - Section Title Days Time Location
STAT 220 - 09 Statistics I - T - R - 0800 - 0940 OSS 313
CRN: 41147 Credit Hours Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chi-square, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201
STAT 220 - 12 Statistics I - T - R - 0955 - 1135 OSS 329
CRN: 41150 4 Credit Hours Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chi-square, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201
STAT 220 - 14 Statistics I - T - R - 1330 - 1510 OSS 313
CRN: 41440 4 Credit Hours Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chi-square, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201

J-Term 2015 Courses

J-Term 2015 Courses
Course - Section Title Days Time Location