Inference: Neyman’s Repeated Sampling STA 320

Inference: Neyman’s Repeated Sampling STA 320
1 / 1
Inference: Neyman’s Repeated Sampling STA 320 - slide 1 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 2 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 3 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 4 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 5 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 6 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 7 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 8 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 9 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 10 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 11 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 12 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 13 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 14 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 15 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 16 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 17 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 18 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 19 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 20 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 21 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 22 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 23 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 24 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 25 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 26 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 27 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 28 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 29 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 30 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 31 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 32 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 33 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 34 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 35 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 36 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 37 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 38 of 39 Inference: Neyman’s Repeated Sampling STA 320 - slide 39 of 39
Inference: Neymans Repeated Sampling STA 320 Design and Analysis of Causal Studies Dr. Kari Lock Morgan and Dr. Fan Li Department of Statistical Science Duke University Office Hours My Monday office hours will be 12-1pm for the next 3

Related Topics

Download this presentation From Below

"Inference: Neyman’s Repeated Sampling STA 320" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Presentation Transcript

01
Inference: Neyman’s Repeated Sampling STA 320
Design and Analysis of Causal Studies
Dr. Kari Lock Morgan and Dr. Fan Li
Department of Statistical Science
Duke University<br>
02
Office Hours My Monday office hours will be 12-1pm for the next 3 weeks (2/10, 2/17, 2/24), not 3-4pm
Wednesdays: 3-4pm
Fridays: 1-3pm<br>
03
R R code corresponding to all the problems from last class is available
There are many different ways to code each problem – this is just an example
For more information on any of it (for loops, subsetting data, handling NAs, etc.) see this R guide I wrote for intro stat
You will have to do your own coding for homework and your project (you can talk, but do not share code)<br>