Office Hours

  • Monday: 1:30 - 2:30pm
  • Tuesday: 12:30 - 2:30pm
  • Wednesday: 10:30am - 11:30am, 1:30 - 2:30 pm
  • or by appointment
 

Interests

 

Lisa Smith

Lecturer of

Mathematics

South 325C
1 College Circle
Geneseo, NY 14454
585-245-5140
smithl@geneseo.edu

Lisa Smith

Lisa Smith has been a member of the Geneseo faculty since 2007.

Faculty Information

Education

  • B.A., State University of New York at Geneseo, 2005
  • M.S., Syracuse University, 2007
Spring 2015 Classes

MATH 262:
R/Applied Statistics

    An introduction to statistics with emphasis on applications. Topics include the description of data with numerical summaries and graphs, the production of data through sampling and experimental desig
    n, techniques of making inferences from data such as confidence intervals and hypothesis tests for both categorical and quantitative data. The course includes an introduction to computer analysis of data with a statistical computing package. (Those who have completed MATH 360 may not enroll in this course for credit, and no student may reveive credit for more than one 200-level statisticcs course, including credit for more than one of the following courses: BIOL 250, ECON 205, GEOG 278, MATH 242, MATH 262, PLSC 251, PSYC 250, and SOCL 211.) Offered every semester
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MATH 341:
Probability &AppliedStatistics

    Topics include probability definitions and theorems; discrete and continuous random variables including the binomial, geometric, Poisson, and normal random variables; and the applications of statistic
    al topics such as sampling distributions, estimation, confidence intervals, and tests of hypothesis. Both the theory and applications of probability will be included with applications of statistics. A student may not receive major credit for both MATH 341 and MATH 360. MATH 341 does NOT serve as a prerequisite for MATH 361. Prerequisite: MATH 223 or permission of instructor. Offered every spring
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