Study Guide F Calculator
What are degrees of freedom?
Degrees of freedom can be described as the number of scores that are free to vary. For
example, suppose your friend tossed three dice, and the total score added up to 12. If your
friend told you that h

Statistics 100 Quiz 2
Solutions
Wednesday 17 February 2010
A slightly anxious couple has one child (a boy) and is worried that the child may not be eating
properly, perhaps causing it to grow more slowly than would be expected. The child is 12 months
old

36-202
Statistical Methods
Spring 2006
SYLLABUS AND COURSE POLICIES
Instructor:
Oded Meyer
Oce: Baker Hall 232C
Phone: x8-8873
email: [email protected]
Oce hours
Formal oce hours will be announced soon. In addition, however, I am happy to meet with
you w

staple here
36-202 Spring 2015
Homework 5
NAME: _
Andrew ID: _
Circle your lab section:
Section A
(Th. 9:30)
Section B
(Th. 12:30)
Section C
(Th. 3:30)
Section D
(F. 10:30)
Section E
(F. 11:30)
Section F
(F. 1:30)
Print out this coversheet and staple it

Lecture 13
Wed, Feb. 11
36-202
Spring 2015
[Finshing] Interaction
[Reserve Material Reference:
pp. 671 674 of Statistics by Agresti and Franklin;
and adjusting for different slopes in chapter 31 of Stats: Data and Models by Deveaux et al)]
and
Beginning O

Problem 4
(The solid circles represent the averages)
One-way ANOVA: Libido versus Dose
Source
Dose
Error
Total
DF
2
27
29
S = 1.833
Level
High
Low
Placebo
SS
20.72
90.75
111.47
MS
10.36
3.36
F
P
0.062
R-Sq =
N
13
8
9
Mean
4.846
5.250
3.222
StDev
2.115
1.2

Lecture 20
Mon, Mar. 2
36-202
Spring 2015
Finishing One-Way Repeated-Measures ANOVA
(a.k.a. within-subjects ANOVA)
Repeated-measures (within-subjects) ANOVA is where the same subjects get measured
k times (i.e., where the same subjects are exposed to all

PROBLEM 1
(The solid black circles represent the averages)
Descriptive Statistics: Adapt.Score
Variable
Adapt.Score
Group
Group1
Group2
Group3
N
16
16
16
N*
0
0
0
Variable
Adapt.Score
Group
Group1
Group2
Group3
Q3
16.750
21.00
18.000
Mean
14.500
18.31
15.

Lecture 12
Mon, Feb. 9
(exam 1 covers through this lecture)
36-202
Spring 2015
(Finishing) Categorical Variables in Regression
[Reserve Material Reference:
Section 13.5, How Can Regression Include Categorical Predictors, of Statistics by Agresti and Frank

Statistics 100
Problem Set 9
Due Friday, 19 April 2013
Problem set policies: Please provide concise but clear answers for each question; just writing the result
of a calculation (e.g., SD = 3.3) with no explanation is not sucient. Each problem set is due

Statistics 100
Problem Set 11
Due Friday, 3 May 2013
Problem set policies: Please provide concise but clear answers for each question; just writing the result
of a calculation (e.g., SD = 3.3) with no explanation is not sucient. Each problem set is due by

Study Guide - Poisson
What is a Poisson random variable?
A Poisson random variable refers to the number of successes in a Poisson experiment.
We might be interested in the number of phone calls received in an hour by a receptionist.
Suppose we knew that s

Homework 6
Part I.
1. Find the average value of f (t) = t sin(t2 ) on the interval [0, 10].
2. A sheet of metal has the shape f (x) = x3 + 8 in the interval [1, 3]. A blacksmith is going to turn all the
metal into a rectangle piece of base 2. What is the

Homework 5
Part I. For the following problems, you are asked to calculate a volume of solid of revolution of the region
over the specied line. Do not evaluate the integral. You should (a) draw the graph of the region, (b)
set up the integral, and (c) stat

Stat 410 Final Exam Practice Problems
Important information regarding the nal exam:
You will be allowed three 8.5 by 11 sheets of notes for the exam (both sides).
The following are acceptable parts of an answer to a question: matrices, matrix inverses,

36-410 Final Exam Practice 2
1. Suppose a nite Markov chain has state space S. Let j, k S and assume k is accessible
from j, but j is not accessible from k. TRUE or FALSE: State j must be transient.
2. Suppose a nite Markov chain has state space S. Let j,

Statistics 100
Introduction to Quantitative Methods
David Harrington
[email protected]
Department of Statistics, FAS
Department of Biostatistics, HSPH
Department of Biostatistics and Computational
Biology, Dana-Farber Cancer Institute
21 Januar

Statistics 100 Quiz 3
Wednesday 3 March 2010
Name:
Section TF/day and time:
The fertility rate in a country is the total births per woman between age 15 and 49. By using
data from many countries around the world, a public health study examined the relatio

Statistics 100
Unit 1
Exploring Data
Chapter 1, IPS
23 January 2013
1 / 81
O UTLINE FOR U NIT 1
Data types and graphical displays: IPS pp 1 - 21
Summarizing data numerically: IPS 1.2, pp 28 - 45
Using the Normal density: IPS 1.3, pp 50 - 64
Summary
2 / 81

Statistics 100
Problem Set 10
Due Friday, 26 April 2013
Problem set policies: Please provide concise but clear answers for each question; just writing the result
of a calculation (e.g., SD = 3.3) with no explanation is not sucient. Each problem set is due

Practice Exam 1
STA 36-202 Statistical Methods
Spring 2015
Remark: This practice exam is longer than the real exam will be.
Printed Name _
Andrew I.D. _
Lab Section:
Section A
(Th. 9:30)
Date:
Section B
(Th. 12:30)
Section C
(Th. 3:30)
Section D
(F. 10:30

Lecture 11
Fri, Feb. 6
36-202
Spring 2015
Including Categorical Variables in the Regression Model
[Reserve Material Reference:
Section 13.5, How Can Regression Include Categorical Predictors, of Statistics by Agresti and Franklin)]
Up to this point, we ha

Practice Exam 2
STA 36-202 Statistical Methods
Spring 2015
Remark: This practice exam is longer than the real exam will be.
Printed Name _
Andrew I.D. _
Lab Section:
Section A
(Th. 9:30)
Date:
Section B
(Th. 12:30)
Section C
(Th. 3:30)
Section D
(F. 10:30

Practice Exam 1
STA 36-202 - Statistical Methods
Spring 2014
Remark: This practice exam is longer than the real exam will be.
Printed Name
Andrew 1D.
Lab Section:
Section A Section B Section C Section D Section E Section F
(Th 9 30) (Th 12 30) (Th 3