STATS 280 - Honors Introduction to Statistics and Data Analysis
Section: 001
Term: FA 2017
Subject: Statistics (STATS)
Department: LSA Statistics
Requirements & Distribution:
Credit Exclusions:
No credit granted to those who have completed or are enrolled in ECON 451, IOE 265, SOC 210, STATS 250 or STATS 412.
Advisory Prerequisites:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

STATS 280 will provide in-depth discussion of models and methods that are appropriate to spectific situations, criteria for selecting among them, their strengths and weaknesses and their conceptual footing. Interactive learning will be emphasized in lectures and the laboratory module. During the lab, students will learn to use modern statistical software for visualization and data analysis, and carry out the computational parts of lab assignments.

STATS 280 includes derivations of basic statistical results such as expected values and sampling variances using techniques from pre-calculus mathematics. Students will also be expected to master quantitative relationships such as scaling relationships between variances, sample sizes, and standard errors

Definition and summary of univariate and bivariate data, distributions, correlation, and associated visualization techniques; randomization in comparative studies and in survey sampling; basic probability calculus, including conditional probabilities, concept of random variables and their properties; sampling distributions and the central limit theorem; statistical inference, including hypothesis tests, confidence intervals; one sample and two sample problems with binary and continuous data, including nonparametric procedures; analysis of variance; simple and bivariate regression; simple design of experiments; chisquare and rank-based tests for association and independence.

Course Requirements:

Students in STATS 280 will be required to complete regular problem sets, which will include both writing about statistical concepts or interpretation of statistical analyses, and calculations or derivations of statistical quantities. In addition, the course will have both a midterm and a final exam.

Intended Audience:

Lower and upper-division undergraduates who are interested in a challenging honors-level introduction to statistics.

Class Format:

Three hours of lecture and a 1.5 hour lab section, per week. The lab section offers instruction and practice in data analysis and statistical computation using a statistical software package, with practicum assignments coordinated to the material introduced in lectures.

STATS 280 - Honors Introduction to Statistics and Data Analysis
Schedule Listing
001 (LEC)
TuTh 8:30AM - 10:00AM
002 (LAB)
11LSA Hnrs
F 8:30AM - 10:00AM
004 (LAB)
10LSA Hnrs
F 2:30PM - 4:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 0393929728
Statistics, Author: David Freedman ; Robert Pisani ; Roger Purves., Publisher: Norton 4. ed. 2007
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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