Leigh Lawton

Adjunct Faculty
Office
OSS 418
Phone
(651)962-5084

Fall 2014 Courses

Fall 2014 Courses
Course - Section Title Days Time Location
OPMT 600 - 203 Stat. Methods for Dec. Making See Details * *
CRN: 42848 Instructor: Leigh Lawton This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
MCH 1161300-170013 Sep '14
MCH 1161300-170004 Oct '14
MCH 1161300-170025 Oct '14
MCH 1161300-170015 Nov '14
MCH 1161300-170006 Dec '14
STAT 220 - 07 Statistics I M - W - F - - 1215 - 1320 OSS 431
CRN: 41145 4 Credit Hours Instructor: Leigh Lawton 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

Schedule Details

Location Time Day(s)
STAT 220 - 08 Statistics I M - W - F - - 1335 - 1440 OSS 432
CRN: 41146 4 Credit Hours Instructor: Leigh Lawton 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

Schedule Details

Location Time Day(s)

J-Term 2015 Courses

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

Spring 2015 Courses

Spring 2015 Courses
Course - Section Title Days Time Location
OPMT 600 - 202 Stat. Methods for Dec. Making - T - - - - - 1800 - 2100 SCH 301
CRN: 22109 Instructor: Leigh Lawton This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
OPMT 601 - 501 Data Analysis for Dec Making - - W - - - - 1800 - 2100 TMH 355
CRN: 22111 Instructor: Leigh Lawton Registration is restricted to MBC degree students only; Demonstrates the value and limitations of data and how they are analyzed to create information in support of a decision. This course includes design of the data collection process, analysis of data, tools for presenting data summaries, recognition of what data can and cannot reveal, and interpretation of results as an aid to making a decision.

Schedule Details

Location Time Day(s)
STAT 220 - 06 Statistics I M - W - F - - 1055 - 1200 OSS 328
CRN: 20917 4 Credit Hours Instructor: Leigh Lawton 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

Schedule Details

Location Time Day(s)