MPA 630-001: Statistical Analysis

Statistical Analysis
MPA 630-001
Fall Semester 
M/W 9:30-10:45
Lab F 9:30-10:45
TNRB 240
Professor Eva Witesman
TNRB 772
Office hours by appointment
eva_witesman@byu.edu

Required software

RStudio.cloud

(Enter this web address in a web browser and create an account/log in)

DataCamp.com

(Create an account using the e-mail address of record at BYU)

Course Description

The purpose of this course is to provide students of public administration with statistical tools necessary to be better producers and consumers of various kinds of data and to enhance decision-making capabilities in a public management context. Students will learn, apply and critique statistical approaches to real-world situations through theoretical and practical application of statistical concepts.

The Specific quantitative tools and concepts introduced in this course include:

  1. Elements of causal relationships
  2. Statistical conclusion validity
  3. Descriptive statistics (measures of central tendency, dispersion, proportions, frequency)
  4. Inferential statistics (confidence intervals)
  5. Hypothesis testing
  6. Regression analysis (including simple, multiple, logistic, and ordinal logistic analyses)
  7. Basic data management
  8. Programming in R statistical software

Community Partners

A significant component of this course is the completion of a statistics project on behalf of a community partner. Community partners and student teams will be assigned during the first month of class.  Most of the work of the semester that involves the community partner project will be completed on a team Google doc, which students will not need to complete separately. Students will receive formative feedback on their drafts through this process at various checkpoints, in addition to summative evaluations of their achievement of specific points of progress on the project.

Classroom Procedures

Review & questions:

Students are invited to bring questions from previous weeks’ material and/or the assigned readings for discussion during the first portion of class. 

Lecture & discussion:
Students are invited to be actively engaged in the lecture and demonstrations that take place during the lecture and discussion portion of the class. Full attention is expected during lecture. The instructor will make every effort to make lecture notes available to students so that minimal note-taking is necessary.

Technology & practice problems:
Students are invited to work independently and/or collaboratively to practice material from lecture ("drills") as directed by the instructor. This will help students to verify that they have the practical knowledge necessary for application to their own independent projects. Practice work is not due to the instructor. Answers will be provided for verification purposes, though students are also strongly encouraged to work together to find correct answers together before referring to any answer keys. Students who master the material before others are expected to actively engage as teachers during this time period to both solidify their own understanding of the concepts and to aid others in understanding. When students feel confident that they and their peers have mastered the material and are ready to apply it, they may move on to application.

Quizzes

Students will complete (by the end of the semester) small quizzes that reflect mastery of the technical components of the course. Students are encouraged to take quizzes as soon as they feel prepared to do so.

Draft Assignments
Draft assignments are essential to ensure proper progress, understanding of the material, and for early correction of problems with the project. Drafts will be graded, and every effort should be made to make the prescribed progress on time. It is expected that some drafts will be incomplete due to the nature of working with real community projects and real data. 

Grades

Final grades are the result of normalized grading scales based on class performance and conform to Marriott School of Management GPA targets for graduate programs. 

 

Course Summary:

Date Details Due