STATS 280 - Honors Introduction to Statistics and Data Analysis
Fall 2020, Section 005
Instruction Mode: Section 005 is  Online (see other Sections below)
Subject: Statistics (STATS)
Department: LSA Statistics
See additional student enrollment and course instructor information to guide you in your decision making.

Details

Credits:
4
Requirements & Distribution:
BS, MSA, QR/1
Other:
Honors
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.
Waitlist Capacity:
99
Consent:
With permission of department.
Advisory Prerequisites:
Pre-calculus.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Description

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.

Schedule

STATS 280 - Honors Introduction to Statistics and Data Analysis
Schedule Listing
001 (LEC)
 In Person
25207
Open
41
 
-
TuTh 8:30AM - 10:00AM
Note: This lecture is synchronous. Attendance is expected at the scheduled days/times. Weekly Lectures for the class will be livestreamed during the Lecture times. They will be made available on Canvas for reference at any point of time during the course. The weekly Lab sessions will be specifically devoted towards practice problem sets. One of them will be recorded and made available asynchronously. There will be online office hours conducted by the instructor and GSI to accommodate a range of times during the week. Testing will include take-home quiz sets, homework problem sets and a take-home final. There will be an assigned deadline to submit the problem sets and exams on Canvas. Canvas will be used for posting all course material and submissions for this class.
002 (LAB)
 Online
25208
Closed
0
6LSA Hnrs
-
TBA
Note: This lab section is asynchronous. The weekly Lab sessions will be specifically devoted towards practice problem sets. One of them will be recorded and made available asynchronously.The weekly Lab sessions will be specifically devoted towards practice problem sets. One of them will be in-person and one will be recorded and made available asynchronously. Canvas will be used for posting all course material and submissions for this class.
004 (LAB)
 In Person
25277
Open
17
5LSA Hnrs
-
F 2:30PM - 4:00PM
Note: This lab section is synchronous. Attendance is expected at the scheduled days/times. The weekly Lab sessions will be specifically devoted towards practice problem sets. One of them will be in-person and one will be recorded and made available asynchronously.The weekly Lab sessions will be specifically devoted towards practice problem sets. One of them will be recorded and made available asynchronously. Canvas will be used for posting all course material and submissions for this class.
005 (LEC)
 Online
38648
Closed
0
 
-
TuTh 8:30AM - 10:00AM
Note: This lecture is synchronous. Attendance is expected remotely at the scheduled days/times. Weekly Lectures for the class will be livestreamed during the Lecture times. They will be made available on Canvas for reference at any point of time during the course. The weekly Lab sessions will be specifically devoted towards practice problem sets. One of them will be recorded and made available asynchronously. There will be online office hours conducted by the instructor and GSI to accommodate a range of times during the week. Testing will include take-home quiz sets, homework problem sets and a take-home final. There will be an assigned deadline to submit the problem sets and exams on Canvas. Canvas will be used for posting all course material and submissions for this class.

Textbooks/Other Materials

The partner U-M / Barnes & Noble Education textbook website is the official way for U-M students to view their upcoming textbook or course material needs, whether they choose to buy from Barnes & Noble Education or not. Students also can view a customized list of their specific textbook needs by clicking a "View/Buy Textbooks" link in their course schedule in Wolverine Access.

Click the button below to view and buy textbooks for STATS 280.005

View/Buy Textbooks

Syllabi

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.

Click the button below to view historical syllabi for STATS 280 (UM login required)

View Historical Syllabi

CourseProfile (Atlas)

The Atlas system, developed by the Center for Academic Innovation, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (Atlas)