COURSE TITLE & NUMBER: Elementary Statistics Math 208. DEPARTMENT: ...
Workshop Statistics: Discovery with Data and Fathom, Key College. Publishing ...
MASTER SYLLABUS ASHLAND UNIVERSITY _____________________________ COURSE TITLE & NUMBER: Elementary Statistics
Math 208
DEPARTMENT: Mathematics and Computer Science DATE: Revised Spring 2007 CREDIT HOURS: 3 PREREQUISITES: Two years of high school algebra. OFFERED: Every semester. INSTRUCTOR: Varies I. Statement of Purpose: An introductory course in statistical reasoning and methods designed to meet the needs of students in biology, business administration, economics, education, psychology and sociology. Sample and theoretical probability distributions, data dispersion and central tendency, estimation, hypothesis testing, correlation, analysis of variance and regression are topics studied. II. Course Objectives: The student will understand the basic language of statistics and how to use statistical concepts in their own disciplines. Emphasis is placed on developing and using statistical reasoning skills. Outcome I. Knowledge of basic concepts and methods.
Measure Assignments, quizzes and tests.
II. Ability to apply statistical knowledge to other disciplines.
Assignments, quizzes, tests, class discussions, and student projects.
III. Ability to reason mathematically and statistically.
Assignments, quizzes, tests, class discussions, and student projects
IV. Ability to communicate statistics orally and in writing..Assignments, . quizzes, tests, class discussions, and student projects III. Content of Course: Some of the topics considered are: I. Analysis of data II. Correlation
III. Measures of central tendency and dispersion IV. Elementary probability V. Distributions of random variables VI. Sampling VII. Central Limit Theorem and distribution of sample means VIII. Confidence intervals IX. Hypothesis testing X. Additional statistical methods (may include regression, ANOVA, contingency tables) IV. Instructional Approach: Classes are conducted on a lecture-recitation basis. Use of hand calculators with statistical capabilities or statistical computer software are a part of the course. V. Evaluative Criteria: Students are evaluated by periodic examinations, class assignments, quizzes and a comprehensive final examination. Some classes may involve student projects. VI. Academic Integrity: Academic integrity: to complete the assignments/tests/experiences of each class on one's own. To present no work completed by others, as one's own. Forms of academic dishonesty will be dealt with according to the "Policies and Procedures for Violations of Academic Integrity." These can be found in the STUDENT HANDBOOK on the Ashland University intranet. VII. Resource Materials: David S. Moore, The Basic Practice of Statistics , 4th Edition, W.H. Freeman and Company, 2007. Rossman, Chance, and Lock. Workshop Statistics: Discovery with Data and Fathom, Key College Publishing, 2001.
