PAM 2100

PAM 2100

Course information provided by the Courses of Study 2018-2019.

The course introduces students to standard methods of describing and analyzing data, probability theory, statistical inference, and ordinary least squares. Students will learn to describe data with summary tables and charts, understand and apply probability theory to data, understand sampling distributions, conduct hypothesis tests, estimate regressions, and interpret statistical findings. Students will also learn to use the basics of Excel to analyze data.

When Offered Spring.

Permission Note Enrollment limited to: Human Ecology students.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, ENGRD 2700, HADM 2010, ILRST 2100, ILRST 6100, MATH 1710, NTRES 3130, PAM 2100, PAM 2101, PSYCH 2500, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200.

Distribution Category (MQR-HE)

Outcomes
  • Describe large datasets using summary statistics including both central tendencies and spread.
  • Use probability theory to evaluate the expected value of future events.
  • Use inferential statistics tools to conduct hypothesis tests about proportions, means, and multiple means.
  • Estimate basic regressions using both bivariate and multivariate ordinary least squares.
  • Write an original research paper using a difference-in-difference estimator.
  • Use Excel to conduct basic statistical, data, and graphical analysis.

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Graded

  • 12957PAM 2100  LEC 001

  • 12958PAM 2100  DIS 201

  • 12961PAM 2100  DIS 204

  • 12962PAM 2100  DIS 205

  • 12963PAM 2100  DIS 206