STATS 150 - Making Sense of Data
Section: 001
Term: FA 2017
Subject: Statistics (STATS)
Department: LSA Statistics
Page Index

#### Details

Credits:
3
Requirements & Distribution:
BS, MSA, QR/1
Credit Exclusions:
No credit granted to those who have completed or are enrolled in SOC 210, IOE 265, STATS 250(350), 280, 400, 412, or ECON 404, ECON 405.
Waitlist Capacity:
99
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

The course establishes techniques for determining whether relationships between variables exist in the sense that the appearance of an association can't be explained by chance. The course formalizes and extends the set of phenomena that can be numerically represented in a way as to permit these modes of analysis. This is done in the interest of making predictions and judgments, particularly about what hypotheses are and are not supported by a set of data and to what extent the data support them.

Is it fair to compare A's to B's without also adjusting for other potentially important variables? (Often it isn't, but sometimes it is.) What do graphs contribute to statistical comparisons? (Some merely heighten statistical illusions; others can be uniquely illuminating.) How should we interpret claims to having found "significant" differences? (Often, very differently than how those making the claims would like us to.) The course will engage with these questions as they arise in economics, medicine, and politics, among other fields, as well as in aspects of student life, and it will leverage modern computing tools and an inductive approach to pedagogy to engage them in an unusually conceptual way. By the end of the course, students will be well-versed in new ways to leverage computing and graphics to reveal structure in data as well as traditional principles of using data to draw conclusion.

Course Requirements:

Intended Audience:

This course is intended for students who would like to learn to be effective consumers of statistics but whose majors do not require them to take a statistics course. Students will learn to make sense of statistics presented in a variety of disciplines and in the media.

#### Schedule

STATS 150 - Making Sense of Data
Schedule Listing
001 (LEC)
P
31168
Open
94

-
 TuTh 8:30AM - 10:00AM AUD C AH

#### Textbooks/Other Materials

NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 9781285841915
LMS Integrated Aplia Access Code for Jessica Utts's "Seeing Through Statistics" (4e) from Cengage. **This option includes the e-textbook.**
Required
Alternative options for Jessica Utts's "Seeing Through Statistics" (4e) Bundle: Access Code, e-Book, and Loose-leaf copy ISBN: 9781337702690 Loose-leaf only: ISBN: 9781337702683
Required

#### 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 150 (UM login required)

#### CourseProfile (ART)

The CourseProfile (ART) system, supported by the U-M Provostâ€™s 3rd Century Initiative through a grant to the Office of 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.