STATS 280 - Honors Introduction to Statistics and Data Analysis
Fall 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Statistics (STATS)
Department: LSA Statistics
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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.
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.

Course Requirements:

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.

Class Format:

This course is in-person (synchronous). 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.

Schedule

STATS 280 - Honors Introduction to Statistics and Data Analysis
Schedule Listing
001 (LEC)
 In Person
33535
Closed
0
 
2
MW 8:30AM - 10:00AM
002 (LAB)
 In Person
33536
Closed
0
 
1
Th 4:00PM - 5:30PM
003 (LAB)
 In Person
33537
Closed
0
 
1
W 4:00PM - 5:30PM

Textbooks/Other Materials

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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.

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CourseProfile (Atlas)

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CourseProfile (Atlas)