|
Emeritus: Bell, Burdick, Romano
Chair: Elwin
Coordinator for Statistics: Lui
Professors: Golbeck, Lui, Moser, Park
Associate Professors: Macky, Steffey
Master of Science degree in statistics.
Master of Science degree in statistics with concentration in biostatistics.
Major in statistics with the B.S. degree in applied arts and sciences.
Minor in statistics.
Statistics is the science which studies data--its collection, description, analysis, and interpretation. Almost all modern professions, from economists to engineers and from social scientists to medical scientists, rely on statistics. Statistical methods are used for studying relationships, predicting results, testing hypothesis, and a variety of other purposes.
The Bachelor of Science degree in statistics is designed to provide students with a fundamental understanding of probability and mathematical statistics, a complementary knowledge of basic methods for data collection and inference, and practical computing skills to carry out statistical analyses of problems in many different areas of application.
One option within the major allows students with a strong interest in statistical or biostatistical aspects of a particular science to apply courses in that science to their major. This option should provide the interested student with a good background for employment or graduate work in statistics, biostatistics, or in that science.
Statistics is the discipline at the heart of the scientific method of discovery. Statistical principles are used in designing experiments and surveys to collect information, and statistical procedures are applied to summarize information, draw conclusions, and make decisions.
Because of the broad applicability of their training in statistical reasoning and data analysis, undergraduate majors are prepared for careers in diverse fields--such as biotechnology, environmental science, insurance, industrial manufacturing, and market research--in which the need for professionally trained statisticians is great.
Graduates who seek to acquire additional skills in applied or theoretical statistics may also consider programs of advanced study at the master's or doctoral level. Statisticians with advanced degrees are sought for senior positions in industry and government, as well as teaching positions in secondary schools, community colleges, and universities.
With the B.S. Degree in Applied Arts and Sciences
(Major Code: 17021)
All candidates for a degree in applied arts and sciences must complete the graduation requirements listed in the section of this catalog on "Graduation Requirements."
A minor is not required with this major.
Upon entry to the program, the student will be assigned to an undergraduate adviser in statistics. Thereafter, the student will meet with the adviser each semester and discuss his or her academic program. A program of study must be approved by the undergraduate adviser in statistics.
In addition to meeting the requirements for undergraduate standing and the basic requirements for the bachelor of science degree as described in this catalog, the student must complete an upper division writing requirement and must complete a minimum of 61 units of coursework as described below.
Preparation for the Major. Statistics 119 or 250; Mathematics 150, 151, 245, 252, and 254; Computer Science 106 or 107. (25 units)
Upper Division Writing Requirement. Passing the University Writing Examination or completing one of the approved writing courses with a grade of C (2.0) or better.
Major. A minimum of 36 upper division units to include Statistics 350A, 350B, 551A, 551B, and Mathematics 524; nine units selected (with the approval of the undergraduate adviser in statistics) from Statistics 550, 552, 553, 554A, 554B, and 555; 12 upper division units selected from a science in which statistics may be applied (these should be from a single science and must be approved by the B.S. adviser) or 12 units selected (with the approval of the undergraduate adviser in statistics) from Mathematics 336, 337, 362, 521A, 531, 532, 533, 534A, 534B, 537, and 541.
The minor in statistics consists of a minimum of 15 units in statistics to include Statistics 250 (or equivalent), 350A, 350B or 554A, and six units of upper division electives in statistics excluding Statistics 357. For Statistics 550, 551A, 551B, and 553, students must satisfy lower division calculus prerequisites (Mathematics 151 or 252, as appropriate).
The minor program includes a combination of courses in applied statistical methods, computer-oriented data analysis, probability, and mathematical statistics, which can be tailored to the student's major, academic, or professional interests. For example, business students interested in actuarial science may wish to consider a minor comprising Statistics 350A, 350B, 551A, and 551B. Students in the social, behavioral, and natural sciences who are particularly interested in applications and data analysis may wish to consider a minor comprising Statistics 350A, 350B, 554A, and 554B.
Students considering a minor in statistics are encouraged to consult with their major adviser and with the minor adviser in statistics. Courses in the minor may not be counted toward the major, but may be used to satisfy preparation for the major and general education requirements, if applicable. A minimum of six upper division units must be completed at San Diego State University.
(Intermediate algebra is prerequisite to all statistics courses.)
NOTE: Proof of completion of Entry-Level Mathematics requirement required for Statistics 119 and 250: Copy of ELM score or verification of exemption.
119. Elementary Statistics for Business (3) I, II, S
Prerequisites: Satisfaction of the Entry-Level Mathematics requirement and qualification on the Mathematics Departmental Placement
Examination, Part IA.
Measures of central tendency and variability, frequency distributions; probability, Bayes theorem, probability distributions (including binomial, hypergeometric, and normal), sampling distributions, confidence intervals, significance testing, regression and correlation. Not open to students with credit in Statistics 250. Students with credit or concurrent registration in the following lower division statistics courses other than Statistics 250 will be awarded a total of four units for the two (or more) courses: Statistics 119, Biology 215, Economics 201, Engineering 140, Political Science 201, Psychology 270, and Sociology 201. (Formerly numbered Mathematics 119.)
250. Basic Statistical Methods (3) I, II
Prerequisites: Satisfaction of the Entry-Level Mathematics requirement and qualification on the Mathematics Departmental Placement
Examination, Part IA.
Descriptive statistics: histogram, measures of central tendency and variability, sampling distributions. Estimation and hypothesis tests for means, proportions, variances. Analysis of variance models, linear regression and correlation, nonparametric methods. Not open to students with credit in Statistics 119. Students with credit or concurrent registration in the following lower division statistics courses other than Statistics 119 will be awarded a total of four units for the two (or more) courses: Statistics 250, Biology 215, Economics 201, Engineering 140, Political Science 201, Psychology 270, and Sociology 201. (Formerly numbered Mathematics 250.)
296. Experimental Topics (1-4)
Selected topics. May be repeated with new content. See Class Schedule for specific content. Limit of nine units of any combination of 296, 496, 596 courses applicable to a bachelor's degree.
299. Special Study (1-3)
Prerequisite: Consent of instructor.
Individual study. Maximum credit six units.
NOTE: Proof of completion of prerequisites required for all upper division courses: Copy of transcript.
350A. Statistical Methods (3) I
Prerequisite: Statistics 119 or 250 or Biology 215.
One- and two-sample hypothesis tests, paired difference tests, tests for variances, analysis of variance. Linear regression and correlation. Chi-square tests. Simple nonparametric tests. The power of hypothesis tests. (Formerly numbered Mathematics 350A.)
350B. Statistical Methods (3) II
Prerequisite: Statistics 350A.
Multiple regression, factorial models and nonparametric methods, all with emphasis on applications. (Formerly numbered Mathematics 350B.)
357. Probability and Statistics (3) I, II
Prerequisite: Mathematics 150.
Probability, measures of central tendency and dispersion, characteristics of frequency functions of discrete and continuous variates; applications. Highly recommended for all prospective secondary school teachers of mathematics. (Formerly numbered Mathematics 357.)
496. Experimental Topics (1-4)
Selected topics. May be repeated with new content. See Class Schedule for specific content. Limit of nine units of any combination of 296, 496, 596 courses applicable to a bachelor's degree.
499. Special Study (1-3) I, II
Prerequisite: Consent of instructor.
Individual study. Maximum credit six units.
NOTE: Proof of completion of prerequisites required for all upper division courses: Copy of transcript.
550. Probability (3) I, II, S
Prerequisite: Mathematics 151.
Computation of probability by enumeration of cases, discrete and continuous random variables, density functions, moments, limit theorems, selected distributions. Markov chains, random walks, selected topics. (Formerly numbered Mathematics 550.)
551A. Mathematical Statistics (3) I, II
Prerequisite: Mathematics 252.
Probability models in the theory of statistics, sampling distributions with applications in statistical inference. (Formerly numbered Mathematics 551A.)
551B. Mathematical Statistics (3) II
Prerequisite: Statistics 551A.
Point and interval estimation and hypothesis testing in statistical models with applications to problems in various fields. (Formerly numbered Mathematics 551B.)
552. Sample Surveys (3)
Prerequisite: Statistics 550 or 551A.
Methods and applications of sample surveys, stratification and sampling, subsamples of clusters. (Formerly numbered Mathematics 673.)
553. Stochastic Processes (3) II
Prerequisite: Statistics 550 or 551A.
Introduction to stochastic processes with selected applications. (Formerly numbered Mathematics 553.)
554A. Computer Oriented Statistical Analysis (3) I
Prerequisite: Statistics 350A.
Using statistical computer packages such as BMDP and SAS to analyze problems in univariate ANOVA, multiple regression, contingency tables, nonparametric methods and discriminant analysis. (Formerly numbered Mathematics 554A.)
554B. Advanced Computer Oriented Statistical Analysis (3) II
Prerequisite: Statistics 554A.
Analyze problems in multivariate ANOVA, factor analysis, repeated measures, logistic regression, loglinear models, cluster analysis. Using statistical computer packages. (Formerly numbered Mathematics 554B.)
555. Multivariate Statistical Methods in Biology (3)
(Same course as Biology 597B.)
Two lectures and three hours of laboratory.
Prerequisite: Statistics 350A.
Application of multivariate statistical methods in the biological sciences. (Formerly numbered Mathematics 555.)
596. Advanced Topics in Statistics (1-4) I, II
Prerequisite: Consent of instructor.
Selected topics in statistics. May be repeated with the approval of the instructor. See Class Schedule for specific content. Limit of nine units of any combination of 296, 496, 596 courses applicable to a bachelor's degree. Maximum credit of six units of 596 applicable to a bachelor's degree. Maximum combined credit of six units of 596 and 696 applicable to a 30-unit master's degree.
 Top of Page
webmaster@libweb.sdsu.edu
Copyright © 1997, San Diego State University. All rights
reserved.
|
