MS Statistics Program Learning Objectives

Assessment Schedule

PLO Course Semester Year
1 164 Spring 2024
2 261A Fall 2024
3 269 Spring 2025

Map of Course Learning Objectives (CLOs) to PLOs

PLO 1

• Derive a point estimator for one or more parameters of a parametric model using the method of moments and the method of maximum likelihood.
• Construct a confidence interval using the method of pivotal quantity and large-sample approximations.
• Derive a test of statistical hypotheses based on the Neyman-Pearson lemma and the generalized likelihood ratio method.

PLO 2

• Develop an appropriate regression model for a given application.
• Assess the validity of model assumptions for a given data set.
• Set up and test meaningful hypotheses for a given data set.
• Analyze data using statistical software and formulate conclusions in the context of the problem.

PLO 3

• Describe the characteristics of an effective consultant, a satisfied client,
and a successful consulting session.
• Identify the issues involving statistical ethics.
• Present effective oral and written arguments.

Map of PLOs to University Learning Goals (ULGs)

• ULG 1 (Specialized knowledge): PLOs 1 and 3
• ULG 2 (Broad integrative knowledge): PLOs 1, 2, and 3
• ULG 3 (Intellectual skills): PLOs 1, 2, and 3
• ULG 4 (Applied knowledge): PLOs 2 and 3
• ULG 5 (Social and global responsibilities): PLOs 1 and 3