FAHADA.BAKHSH
UFID#:76161381
STAT3024PROJECT2
Purpose: To study the association between Gender of UF students, and whether they are in
favor of gun banning laws or opposing to.
Data:
In favor
18
24
Male
Female
Opposing
9
35
Chi-Square Test for Association
FAHADA.BAKHSH
UFID#:76161381
STAT3024PROJECT1
Purpose:TopredictthenumberofalcoholicsdrinksconsumedusedbasedontheirAge,
Gander,YearinSchoolandGreek.
RegressionAnalysis:AlcoholversusAge,YearinSchool,Gender,
Greek
if Gender(M)= 1, if Gender(F)= 0
if Greek(Y)
AlbaraaM.Heji
UFID#:11096847
STAT3024PROJECT2
Purpose: To study the association between Gender of UF students, and which type of pets
they prefer.
Data:
Cats
14
33
Male
Female
Dogs
37
45
Chi-Square Test for Association: Cats, Dogs
Expected counts are prin
STA 2023 Name
Fall 2016 ' UF ID #
EXAM 1 Test Form Code B
Instructions:
This exam contains 33 Multiple Choice questions. Each question is worth 3 points, for a total of 99
points. One point will be given for bringing your ID to the exam as well as filling
STA 2023 Name
Fall 2016 UF ID #
EXAM 2 Test Form Code A
Instructions:
This exam contains 33 Multiple Choice questions. Each question is worth 3 points,
for a total of 99 points. One point will be given for bringing your ID to the exam as
well as lling in
STA 2023 Name
Fall 2016 UF ID #
EXAM 2 Test Form Code B
Instructions:
This exam contains 33 Multiple Choice questions. Each question is worth 3 points,
for a total of 99 points. One point will be given'for bringing your ID to the exam as
well as lling i
STA 2023 Name
Fall 2016 UFID #
EXAM 1 Test Form Code A
Instructions:
This exam contains 33 Multiple Choice questions. Each question is worth 3 points, for a total of 99
points. One point will be given for bringing your ID to the exam as well as filling in
STA 2023 Name
Fall 2016 UFID #
EXAM 1 Test Form Code C
Instructions:
This exam contains 33 Multiple Choice questions. Each question is worth 3 points, for a total of 99
points. One point will be given for bringing your ID to the exam as well as filling in
Formula sheet 2
Sample statistics
Sample size:
Sample mean:
x
=
n
(
n 2z1/2
xi
Sample variance:
T.S. =
)
1
1 ( 2
(xi x
)2 =
xi n
x2
n1
n1
Mean:
where n
:= n + 4, and p := (x + 2)/
n
E(aX + b) = aE(X) + b
Test statistic:
Variance:
V (aX + b) = a2 V (X)
Formula sheet 3
Sample statistics
Sample mean:
x
=
SST =
n
SSE =
xi
i=1
n
(yi yi )2
i=1
i=1
n
SSR =
(
yi y)2
Sample variance:
s2x =
n
(yi y)2
)
1
1 ( 2
(xi x
)2 =
xi n
x2
n1
n1
i=1
Mean Squares:
Linear transformations
MS = SS/df
Mean:
Conditional varian
Exam 1 Review
Keegan Korthauer
Department of Sta8s8cs
UW Madison
Exam 1
1. Friday, February 28 9:55am-10:45am (50 min) in
Social Sciences 5208 (regular lecture room)
2. Counts for 25% of your nal grade
3. Bring your
The Synthesis of Biodiesel from Vegetable Oil
2012 by David A. Katz All rights reserved.
Introduction
The use of reclaimed vegetable oil from restaurants, for use as a fuel for road vehicles, has
received a lot of attention in recent years. Used vegetabl
Institute of Environmental Sustainability
Biodiesel Labs
Teacher Manual with Student Documents
Loyola University of Chicago
Institute of Environmental Sustainability
Biodiesel Program
Version 4.0
August 7, 2013
Loyola University of Chicago: Biodiesel Labs
A running club is interested in determining if Yoga can help improve someone's running time. The entire
club of 24 people decides to participate. The group has 12 males and 12 females. Three males and three
females take yoga twice a week. Three males and
Question 2
1 / 1 pts
There has been much controversy recently concerning the prices of prescription drugs in the United
States. Many individuals, and some elected politicians, advocate buying the drugs in Canada, which
manages to sell drugs produced in th
Question 1
Have attitudes towards marijuana changed in the past 25 years? The General Social Survey asks almost
every year: Should marijuana be made legal? In 2006, 35% (649 out of 1853) said yes, while in 1990,
16% (142 out of 863) said yes. In this prob
A growing number of people have stopped paying for cable and satellite TV service, and don't even use
an antenna to get free signals over the air. They are watching shows and movies on the Internet,
sometimes via cellphone connections. Recently the Nielse
STA 6166 Project 2 Fall 2016
Due Wednesday, October 5
Part 1: Airline Demand Effects of 9/11
The dataset airq4.dat (airq4.xls) contains data on average fare and average weekly passengers for the fourth
quarters of years 2000 and 2001 for a population of 4
Chapter 5
Inferences Regarding Population
Central Values
Inferential Methods for Parameters
Parameter: Numeric Description of a Population
Statistic: Numeric Description of a Sample
Statistical Inference: Use of observed statistics to
make statements r
Chapter 6
Inferences Regarding Locations of
Two Distributions
Comparing 2 Means - Independent Samples
Goal: Compare responses between 2 groups (populations,
treatments, conditions)
Observed individuals from the 2 groups are samples from
distinct populat
Systematic sampling is a random sampling technique which is frequently chosen by researchers for its simplicity and its periodic quality.
In systematic random sampling, the researcher first randomly picks the first item or subject from the population. The
Systematic sampling is a random sampling technique which is frequently chosen by researchers for its simplicity and its periodic quality.
In systematic random sampling, the researcher first randomly picks the first item or subject from the population. The
EXERCISES
Hypothesis Testing
x
1. Let X1 , X2 be a random sample of size n = 2 from the distribution having pdf f (x : ) = 1 e , 0 < x < ,
zero elsewhere. We reject H0 : = 2 and accept H1 : = 1 if the observed values of X1 , X2 , say x1 , x2 are
such that
STATISTICS 421
Solution to Selected Textbook Exercises
1
(Exercise 8.1.1) By the Neyman-Pearson Theorem, a MP size- test in this case rejects H0 iff
n
X
xi k x k ,
i=1
where k is such that
= P X k = 0 = nk .
Thus, we get k = 1n Z1 . With n = 25 and = 0.0
STATISTICS 421
Solution to Selected Textbook Exercises
1
rs
(Exercise 7.4.1) Let X1 , X2 b(1, ), (0, 1). To see that T = X1 + X2 b(2, ) is
complete, consider a function U (T ). Now,
E cfw_U (T ) =
2
X
U (t)
i=0
2 t
(1 )2t
t
is a quadratic polynomial in
STATISTICS 421
Solution to Selected Textbook Exercises
1
(Exercise 6.2.1) We have
(
I() = E
so that we get RCLB =
2
2
n
2 )
1
1
2
=
log fX (X1 ; )
(X1 )
,
= E
4
2
= var(X). Hence, X is efficient for .
(Exercise 6.2.7)
a
We have
I() = E
3
= E
4
2X1
3
2
=
STATISTICS 421
Solution to Selected Textbook Exercises
1
(Exercise 4.5.1) Recall the power function given in equation 4.5.12 on p. 244 of textbook is,
for < < ,
n
() Z1
(0 )
= (a + b),
0
where a = Z1 n
and b = n > 0. Clearly, since a + b is a linear func