Gregory Clark
ECN 1A, Fall 2012
Midterm 1
Closed book exam. No calculators, cell phones, or other electronic aids allowed.
Instructions: Answer these multiple choice questions on your Scantron. Write on the Scantron
your name (last name first) and student
Name: _ Class: _ Date: _
CH. 5 EXERCISES WITH PEARSON
Multiple Choice Identify the choice that best completes the statement or answers the question.
Data Set 5-4 X
1
2
3
Y
4
5
6
_
1. The correlation coefficient in Data Set 5-4 is
a. positive;
b. negative;
Chapter 1 reading/lecture
Introduction to Statistics
Terminologies and Notations
Scales of measurements
Experimental and correlation design
Chapter One Goals
Descriptive vs. inferential statistics.
Basic terms (population/sample)
The basic statistics ca
Chapter Four
Measures of
Variability:
Deviation score;
Range, Variance,
and Standard
Deviation
New Statistical Notation
X 2 indicates the sum of squared Xs
Square each of the scores first
and then add them all up
(X ) indicates the squared sum of X
2
Chapter Five.2
Linear Regression
Chapter 5.2 Goals
What is a regression line
How a regression line summarizes a
scatterplot
How the regression equation is used to
predict the Y scores at a given X
How the standard error of the estimate
measures the er
Chapter 5.1 Goals
The logic of correlational research and how it
is interpreted
How to read and interpret a scatterplot and a
regression line
How to identify the type and strength of a
relationship
Chapter 5.1
How to interpret a correlational coeffici
Name: _ Class: _ Date: _
ID: A
ch.Z SCORES - 08 EXERCISES
Multiple Choice
Identify the choice that best completes the statement or answers the question.
_
1. George D. took four exams in American history. On each he made a score of 89. The 's and 's for t
CH.4 MEASURES OF VARIABILITY FORMULA SHEET
DEVIATION SCORE (how a score deviates from the mean)
X-
Example scores: 1, 3, 4, 5, 2:
Calculate the mean = 3
What is the deviation score for 4? 4-3= 1
What is the deviation score for 1? 1-3= -2
RANGE
The highest
Name: _ Class: _ Date: _
ID: A
Ch. 4 - Variability EXERCISES
Multiple Choice
Identify the choice that best completes the statement or answers the question.
_
1. If you see the notation X 2 you should
a. sum all the Xs, then square the sum.
b. sum the Xs,
Name: _ Class: _ Date: _
ID: A
Ch. 02 exercise - frequency distribution, graphs, percentiles, and type of distributions
Multiple Choice
Identify the choice that best completes the statement or answers the question.
Data Set 2-1
A student was interested in
STA 106: Homework 2
Due: 8:00am, Fri 23rd January
Assigned: Friday, 16th January
For all questions you must show your work. This enables us to understand your
thought process, give partial credit and prevent crude cheating. Please see the code of
the cond
!#"$
&%(')+*&-,
./01325447698;:=<>25?@0BADCE1)8<>25:@F;4G09HJILK#69CM8#ANOQPDRSNUTV8?!0W45<BX
Y
Z X+[]\=25<^25<^C>\@0T_8?@0W4=13\@0W:`C>\@03ILK#69CM8#AD4G0Ba#0W45<bKcA>0bde+fhg3ijVC>\@0A>0W<M0WKcAh6k\@0BAWlbmb8;:=6B45n!<>2G8;:=<Z1325454
o70BAhC>K#25:_
STA 104: Homework 2
Due: 1:10pm, Wed 22th April
Assigned: Tuesday, 14th April
For all questions you must show your work. This enables us to understand your
thought process, give partial credit and prevent crude cheating. Please see the code
of the conduct
STA 106: Homework 1
Due: 8:00am, Fri 16th January
Assigned: Friday, 9th January
For all questions you must show your work. This enables us to understand your
thought process, give partial credit and prevent crude cheating. Please see the code of
the condu
STA 104: Homework 1
Due: 3:10pm, Mon 13th April
Assigned: Wednesday, 3rd April
For all questions you must show your work. This enables us to understand your
thought process, give partial credit and prevent crude cheating. Please see the code
of the conduc
ECN 140
University of California, Davis
Econometrics
Prof. Shu Shen
Homework Assignment #2 (due January 26)
Written problems:
1.
Show that R-squared (for a simple linear regression) is equal to the square of the
correlation between y and x. (Hint: Use one
STA 131B Homework 2
Due: Wednesday, Jan. 25, in class
PROBLEMS
Section 7.5: 8, 10
Section 7.6: 3, 8, 23 (see Section 5.8 of the textbook for definition and properties of Beta distributions).
Section 7.10: 4, 10
Additional problems:
1. Let X1 , . . . , Xn
STA 138
Categorical Data Analysis
Fall 2016
Homework #1
(Due Friday, September 30)
1.
2.
3.
4.
5.
6.
7.
8.
9.
Problem 1.1, page 28.
Problem 1.2, page 29.
Problem 1.3, page 29.
Problem 1.4, page 29.
Problem 1.5, page 29.
Problem 1.16, page 31.
Problem 1.17
STA 138
Categorical Data Analysis
Homework #2
(Due Friday, October 7)
1.
2.
3.
4.
5.
6.
7.
8.
9.
Problem 1.6, page 29.
Problem 1.7, page 29.
Problem 1.8, page 30.
Problem 1.9, page 30.
Problem 1.22, page 32.
Problem 2.4, page 61.
Problem 2.5, page 61.
Pro
Name: _ Class: _ Date: _
ch.05.correlation.EXCERCISES
Multiple Choice
Identify the choice that best completes the statement or answers the question.
_
1. What kind of relationship is depicted in the following graph?
a.
b.
_
A positive linear correlation
A
Name: _ Class: _ Date: _
CH.06.EXERCISES
Multiple Choice
Identify the choice that best completes the statement or answers the question.
_
1. Y is
a. the actual Y scores.
b. the predicted Y scores.
c. the standard deviation of Y.
d. the standard error of t
PLEASE INTERPRET THE FOLLOWING CORRELATIONAL DATA IN ENGLISH USING THE CORRELATION
COEFFICIENT AND THE VARIANCE (COEFFICIENT OF DETERMINATION)
Junk food consumption and Stress (r=-.29)
Life satisfaction and GPA (r=.8)
Incomes and # of children (r=.07)
Dat
4. Descriptive Statistics: Measures of
Variability and Central Tendency
Objectives
Calculate descriptive for continuous and categorical data
Edit output tables
Although measures of central tendency and variability were presented as separate
chapters in th