Due: Nov 02 by 11:59pm

Weight: This assignment is worth 3% of your final grade.

Purpose: The purpose of this assignment is to introduce the concept of design of experiments and to understand how experiment design can impact the amount of information available about different model effects.

Assessment: This assignment is graded using a check system:

Notice that this is essentially a pass/fail system. I’m not grading your writing ability and I’m not counting the number of words you write - I’m looking for thoughtful engagement.

1. Getting Organized

Download and edit this template when working through this assignment. Notice that this week’s template is a .Rmd file.

2. Readings

Last week we discussed how we quantify parameter uncertainty from maximizing the log-likelihood. This week, we’ll begin considering the relationship between parameter uncertainty and how we design our experiment.

Take notes as you watch the video. At the end of the video, I ask one practice question - you should answer this questions as part of your reflection. You may submit your answers however you wish, e.g. hand-write them on paper and take a picture and / or type answers in your reflection .Rmd file.

Click here to download the slides in the video as a PDF.

3. Reflect, Knit, & Submit

Reflect on what you’ve learned and any questions or points of confusion you have about design of experiment. Is there anything that jumped out at you? Anything you found particularly interesting or confusing? After reflecting, do the following:

EMSE 6035: Marketing Analytics for Design Decisions (Fall 2021)
Wednesdays | 6:10 - 8:40 PM | SEH 7040 | Dr. John Paul Helveston | jph@gwu.edu