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

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

Email

Mail

University of St. Thomas

Mail Number OSS 402

2115 Summit Avenue

St. Paul, MN 55105

Mail Number OSS 402

2115 Summit Avenue

St. Paul, MN 55105

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.

Course - Section | Title | Days | Time | Location | |
---|---|---|---|---|---|

STAT 220 - 01 | Statistics I | M T W R - | 1015 - 1215 | OSS 313 | |

Description of course Genetics B/ Lab: | 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 |

Course - Section | Title | Days | Time | Location | |
---|---|---|---|---|---|

STAT 220 - 09 | Statistics I | - T - R - | 0800 - 0940 | OSS 313 | |

Description of course Genetics B/ Lab: | 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 | |

Description of course Genetics B/ Lab: | 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 | |

Description of course Genetics B/ Lab: | 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 |

Course - Section | Title | Days | Time | Location |
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