STUDIO ONE SYLLABUS, FALL 2015
New York University, Studio 20
David Westphal, Instructor
Innovate or die.  Bill Gates, Tom Peters (and many others)
Innovation happens when there are no guarantees. Ma
CHAPTERS 16: ESSENTIALS OF MARKETING RESEARCH
HOMEWORK NUMBER 1
Professor Wynne
Maria Veronica Holmes Roldos
NAME: _
Please place your answers in the table.
Question
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103; 112015; Prof. Tatum Midterm 2A Solutions (from student exams)
(Corrections: Page 4, the first bell curve should have 1.6 where it shows 1.55.
Page 3, (e) the df=n2=4, so the tcriti
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103, Corrected 101415
Prof. Tatum
Homework #3 Solutions
(Corrections in boldfont on problems 2b, 2c, and 3c.)
1. You want to select 5 investments from a list of 13 possible investments to
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103
Prof. Tatum
Midterm 2 Study Guide
112015
1. Review the following homework assignments and Solutions, as well as your related
class notes and text sections.
Homework 6: Poisson and Norma
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103 101215
Prof. Tatum
Homework #4 Solutions
1. [Independence] Consider drawing a card from a shuffled deck. We have shown that
events J and H are independent, with J=cfw_jacks and H=cfw_he
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103
Prof. Tatum
Midterm 1 Study Guide
10415
1. This will be a closed book, closed notes, no cheat sheet exam. On the exam, I will
give you the equation for Bayes Rule and the probability di
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103 10515
Prof. Tatum
Homework #5 Solutions
1. Let's use 17% as the underlying, true probability of default on bonds sold by the
Greek government in the past year, in an investment game whi
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103
Prof. Tatum
Midterm 1 Study Guide
10415
1. This will be a closed book, closed notes, no cheat sheet exam. On the exam, I will
give you the equation for Bayes Rule and the probability di
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103
Prof. Tatum
Homework #2 Solutions, 92315
1. The net weights of a sample of five randomly chosen packages of SwissMiss
Chocolate are shown on the right. Show your work.
(a) Compute the s
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103 101215
Prof. Tatum
Homework #4 Solutions
1. [Independence] Consider drawing a card from a shuffled deck. We have shown that
events J and H are independent, with J=cfw_jacks and H=cfw_he
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103, 9/16/15
Prof. Tatum
Homework #1 Solutions
1.
(a) Tell us a little bit about your company.
Lions Gate Entertainment (LGF) produces and distributes movies (The Hunger
Games) and television
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
STATUB.0103, Corrected 101415
Prof. Tatum
Homework #3 Solutions
(Corrections in boldfont on problems 2b, 2c, and 3c.)
1. You want to select 5 investments from a list of 13 possible investments to
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
StatUB.0103.02; Prof. L. Tatum; 32615
Midterm 1A Solutions
1. [20] Consider a full deck of 52 American playing cards. Let F denote the subset
composed of the Face cards, so F includes the Jacks, Qu
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
Muhammad Furrukh Saeed
2
b) Hey Jude. Size: 6.55250358581543. Time: 424
c) Mean will change significantly. Median will change little bit.
d) Median
e) Mean
3a
Variab
le
C1
N
2
7
N
*
Mea
n
SE
Mean
StD
Lane, Chapter 10
#4 (p.364): As it must adjust for a higher probability of occurrence of the population mean, a
99% confidence interval must include a wider portion of the population tested in order t
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
Nelson Urdaneta
10/13/2016
USED A ZTABLE FOUND ONLINE WHICH RANGED FROM NEGATIVE TO POSITIVE (I.E. .5 was accounted
for when Z is positive).
HW 5
1) Sincich, Ex. 4.84.
a. P(0<Z<2.0) = .9772  .5 = 0.
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
Nelson Urdaneta
Professor Avi Giloni
STATUB0103.01 Statistics for Business Control and Regression Models
19 September, 2016
Homework #1
1. The treatment variable in the college students experiment wa
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
HW 4
1) Sincich, Ex. 4.20
2) Sincich, Ex. 4.32
3) Sincich, Ex. 4.56
4) Sincich, Ex. 4.70
5) If Var(X) = 25, Var(Y) = 16, and the correlation between X and Y is .5, Find
a) Cov(X, Y)
b) Cov(2X, 3Y)
c)
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
Nelson Urdaneta
Professor Giloni
STATUB.0103.01 Statistics for Business Control and Regression Models
26 September 2016
HW3
1) The probability that a train leaves on time is 0.85. The probability tha
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
Nelson Urdaneta
12/15/2016
HW 10
1) The file Gesell.MTP concerns a study of whether intelligence can be predicted based on the age at
which a child starts to speak. For each of 2l participants in the
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
Summary Report for Temp
AndersonDarling Normality Test
ASquared
PValue
Mean
StDev
Variance
Skewness
Kurtosis
N
Minimum
1st Quartile
Median
3rd Quartile
Maximum
0.52
0.183
98.249
0.733
0.538
0.0044
HW 4
1) Sincich, Ex. 4.20
2) Sincich, Ex. 4.32
3) Sincich, Ex. 4.56
4) Sincich, Ex. 4.70
5) If Var(X) = 25, Var(Y) = 16, and the correlation between X and Y is .5, Find
a) Cov(X, Y) = .5*5*4 = 10
b
Handout assignment II
1. A manufacturing company is interested in predicting the number of defects that will be
produced each hour on the assembly line. The managers believe that there is a relationsh
1. The marketing manager of a large supermarket chain would like to develop a model for
predicting weekly sales of pet food based on the shelf space. A random sample of 9 stores is
selected, with the
Handout assignment I
Due date:
1. A manufacturing company is interested in predicting the number of defects that will be produced each
hour on the assembly line. The managers believe that there is a r
2. a) Advertising is the independent variable and Weekly Sales is the dependent variable.
b)
c)
Regression Analysis: Weekly Sales versus Advertising
Analysis of Variance
Source
Regression
Advertising