Statistics and Design of Experiments

Course #OS3112

Est.imated Completion Time: 3 months

POC: NPS Online Support

Overview

This course covers fundamentals of experimental design, analysis of categorical data, the general linear model, and regression. Students will learn how to set and analyze experiments using basic experimental design starting with two-sample methods and advancing to designs such as factorials, fractional factorials, and randomized block designs. Designs appropriate for human research (such as repeated measure designs) and /or large scale simulation experiments (such as Latin hypercube designs) are included. Parametric and nonparametric approaches are compared and contrasted. Datasets and motivational examples are drawn from recent research relevant to HSI and/or MOVES. 

Included in degrees & certificates

  • 359

Prerequisites

  • OS3111
Offerings database access
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Academic Calendar

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin

  •  15 Jun 2023

    Spring quarter final examinations end