PAM 2101

PAM 2101

Course information provided by the Courses of Study 2018-2019. Courses of Study 2019-2020 is scheduled to publish mid-June.

The primary intent is to prepare students to successfully complete PAM 3100 Multiple Regression Analysis. Topics include data presentation and descriptive statistics, summation operator, properties of linear functions, quadratic functions, logarithmic functions, random variables and their probability distributions, joint and conditional distributions, expected value, conditional expectation, statistical sampling and inference, interval estimation and confidence intervals, hypothesis testing using t and F distributions, and an introduction to bivariate regression analysis. The course uses Excel initially to become familiar with data analysis, and then moves on to Stata (a powerful statistical analysis computer program).

When Offered Fall.

Permission Note Enrollment limited to: PAM majors.
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)

  • Employ basic numeric and visualization tools to describe data.
  • Apply inferential statistical analysis to policy-relevant research questions.
  • Conduct statistical evaluations of US census data in computing environment.
  • Critique methodological approaches to social scientific research.

View Enrollment Information

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

  • 4 Credits Graded

  • 13606PAM 2101  LEC 001

    • TR
    • Rich, P

  • 13651PAM 2101  LAB 401

    • F
    • Rich, P