IUPUI
Project 1
Eirinn Kelley
STAT 030100-9436
Professor Achut Adhikari
18 May 2016
1.
a) Histogram
b)
~ Variable: % Below Poverty in the U.S.
~ Cases: States
~ Sample or population: Population The survey was conducted in each state, making the United
Sta
Problem set 2
S520
Submit your answers on paper by the beginning of class, Thursday 8th
September.
1. A statistics class contains 35 students: 11 undergrads and 24 grad students. Of the undergraduates, 4 are female and 7 and male. Of the grad students, 5
Problem set 1
S520
Upload your answers through the Assignments tab on Canvas by 5 pm,
Thursday 1st September.
1. For each of the following scientific questions, state whether the question is best answered
using a randomized experiment or an observational
Solutions to some exercises from Bayesian Data Analysis,
third edition, by Gelman, Carlin, Stern, and Rubin
22 Aug 2014
These solutions are in progress. For more information on either the solutions or the book (published by CRC), check the website, http:/
Solutions to some exercises from Bayesian Data Analysis, rst edition
by Gelman, Carlin, Stern, and Rubin
3 Jan 2003
These solutions are in progress. For more information on either the solutions or the book (published by CRC), check the website http:/www.s
STAT 52900
AKA: Introduction to Bayesian Statistics
Guidelines for the Class Project
1. Due Date: May 5, 2015in time for your presentation in class .
2. State the problem you are trying to solve with your study and why Bayesian
methodology will be useful
STAT 52900Spring 2015
Introduction to Bayesian Statistics
Example: The scores on a certain standardized test range between 0 and 100. Developers of the
test want to estimate the average score of students within the state, based on sample of size 10.
The D
Additional HW problems
1. Suppose we are given the following 11 observations from a normal distribution:
148, 154, 158, 160, 161, 162, 166, 170, 182, 195, 236
and we are told that the standard deviation 0 = 25. Find a 95% HDR for the
posterior distributio
STAT 52900-FALL 2015
Introduction to Bayesian Statistics
Homework 3
1) Read the Chapters 3-4 in the GCSR
2) Do problems 3.1 and 4.2 and 4.3 from GCSR (after doing problem 3 below)
3) Review Example 3.7 starting on page 88 of GCSR and the R-code attached b
STAT 52900Spring 2015
Introduction to Bayesian Statistics
Homework 2
1) Read the Chapter 2-3 in the GCSR
2) Do problems 2.1, 2.2, 2.5, 2.8, 2.12, 2.21, 2.22 from GCSR
(a) Consider a Poisson model as we discussed the Binomial model in class. That is,
suppo
STAT 52900-FALL 2015
Introduction to Bayesian Statistics
Homework 1
1. Read Chapters 1 and do Problem 1, 4, 6 and 7 in the text.
2. Refer to section 1.4 in GCSR. The question of interest is whether or not the woman
is a carrier of the hemophilia gene.
a)
Formulas and Tables
Chapter 2
Chapters 3-5
None required for this test
Chapter 6
and
and
is N(0,1)
is N(0,1)
Chapter 7
is N(0,1) with
CI for (Large-Sample):
CI for (Small-Sample)
CI for p:
with
Chapter 8
Test for (Large-Sample):
Test for (Small-Sample):
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 3 | Total points: 100
Printed Name:_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and the se
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 3 | Total points: 100
Printed Name:_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and the se
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 2 | Total points: 100
Printed Name:_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and the se
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 2 | Total points: 100
Printed Name:_KEY_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and th
Project#1
STAT 301: Elementary Statistical Methods I
Total 25 points
Due: 7/8/2013
Instructions:Provide complete and clear explanations to all questions. Graphs must
be labeled for clear communication. Remember the importance of context
throughout in desc
DepartmentofMathematicalSciences,IUPUI
Summer 2013 | STAT 301: Elementary Statistical Method I |
Exam1|Totalpoints:100
Printed
Name:_
Section I.Fifteen multiple choice problems. Three points each. Circle the correct one.
For questions Q1 and Q2, use the f
Project # 3
STAT 301: Elementary Statistical Methods I
Summer 2013 | Total 25 points
Due: 08/01/2013
REMEMBER:Each students project must reflect their individual effort.
Instructions: Communication is critical! Provide complete and clear explanations to e
Project#2
STAT 301: Elementary Statistical Methods I
Summer 2012 I Total 25 points
Due: 07/18/2013
Instructions: Provide complete and clear explanations to all questions. Graphs must be
labeled for clear communication. Remember the importance of context t
Department of Mathematical Sciences
Spring 2013 | STAT 30100: Elementary Statistical Methods I
Exam 1 | Total points: 100
Printed Name:_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choic