Course Syllabus – Spring 2004
Course Title: Introductory Statistics
Hours Credit: 3 hours
Prerequisites: MATH 1101 or MATH 1111
Instructor: Varies (multiple sections)
Instructor Office Hours: Varies (at least 10hrs/week)
Course Description: (Non-credit for mathematics major or minor) A noncalculus-based introduction to methods of descriptive statistics, probability, discrete and contionuous distributions, and other fundamental concepts of statistics.
Topics: Methods for describing sets of data, including descriptive statistics, histograms and boxplots Probability of discrete and continuous random variables, including the binomial and normal random variables Sampling distributions, including the Central Limit Theorem Hypothesis testing and Confidence intervals for one and two samples Analysis of Variance Simple linear regression Chi-squared tests and analysis of contingency tables
Text: Introduction to the Practice of Statistics, 4th Ed, D. Moore & G. McCabe, Freeman Publishers.
Upon successful completion of this course, the students will know how to properly collect data, how to describe and analyze that data, and make inferences about the population under study based on the sample data collected. The students will also be aware of and able to interpret the statistics with which we are bombarded on a daily basis in the print media, on radio, and on television, to help make informed decisions about their lives.
Grading Methods: Tests, Quizzes, Final Exam, Homework; Percentages decided by instructor.