. The plot does not indicate anything out of the
ordinary, as if independent events.
) One explanation involves fouls by the opposing
. team. Bryant scored 12 points on free throws in the
_ . fourth period alone. Misses associated with fouls are
counted i

Statistics Problem Set 3
Part I:
Expected Mean = 1000
Observed Mean = 971.9
Standard Error =
49.8
64
Jessica Bardy, Dennis Lazar, Nan Lin, Yao Yao
Expected Std. Dev. = 50
Observed Std. Dev. = 49.8
n = 64
= 6.225
= about -4.5, meaning our sample is about 4

FIGURE 9.4 Subtracting
a constant from a random
Variable shifts every outcome
by the same amount without
Changing the probabilities.
9.3 PROPERTlES OF EXPECTED VALUES 209
9.3 l PROPERTIES OF EXPECTED VALUES
We often have to add a Constant to a random va

Rajan Patel
Professor Tatum
Homework 3
9/28/16
1)
a) 14 potential investments, list of 6 unequally weighted
N!/(N-n)! = 14!/(14-6)! = 14!/8! = 2162160
b) There are 6 spots to fill in the investment list. Since the list is unequally weighted,
order matters

Rajan Patel
Professor Tatum
Statistics UB-103
9/29/16
1)
a)
False Positive A test result that indicates that the particular condition is present when
it is not. In our example, a false positive would be a test result that states the disease is
present whe

Rajan Patel
Professor Tatum
Homework #2
9/21/16
1)
a) Pfizer Inc. is the world's second largest pharmaceutical company in terms of
prescription sales revenue.
Date
9/20/06
9/21/06
9/22/06
9/25/06
b)
PFEclose
18.732743
18.561668
18.528769
18.653786
9/26/06

Summary Statistics
A statistic is a numerical summary of a sample. The average of 3 rolls of a die is
called a sample average and is a statistic.
What makes statistics as a field interesting is the recognition that when a sample
is taken from the populati

1. MBS Ex. 3.3
2. MBS Ex. 3.4
3. MBS Ex. 3.18
4. MBS 3.20
5. MBS. Ex 3.40
6. MBS Ex. 3.44
7.
Suppose that in the packaged-cereals industry, 29% of all vice presidents hold MBA degrees,
24% hold undergraduate business degrees, and 8% hold both. A vice pres

Course Outline Fall 2016
STAT-UB.0103.003 Statistics for Business Control and Regression Models
Meeting Time & Place
Lectures: Monday, Wednesday, Thursday: 9:30 AM 10:45 AM
Location: TISC UC25
Exam 1: Oct. 13th (Thursday)
Exam 2: Nov. 14th (Monday)
Exam 3

Extended Third Exam
STAT-UB.0103 Statistics for Business Control and Regression Models
The length of the exam is 75 min. The exam is closed book and notes, with the following
exception: you are allowed to bring one letter-sized one-sided page of notes int

Midterm 2 (Sample)
STAT-UB.0103 Statistics for Business Control and Regression Models
The length of the exam is 70 min. The exam is closed book and notes, with the following
exception: you are allowed to bring one letter-sized one-sided page of notes into

1. Are the following measurements categorical/qualitative or numeric/quantitative?
If it is qualitative, it is nominal or ordinal? If it is quantitative, it is discrete or
continuous?
(a) The answer to the following question: What is your primary cell pho

3 Longterm customers make signicantly dierent types
laints than recent customers do. Longterm
of com?
customers complain more often about billing errors,
and complain less often about salespeople.
x1 : 7.581,: = 0.108 (4 df)
) Customer satisfaction appear

194 CHAPTER 8 Conditional Probability
act of ordering when using co
such as the difference bet-
ldisease) versus P(diseaseltest
0 Explain the imp
tional probability,
f conditional probabili Ween P(test positive
rse the positive).
0 Organize large collecti

6-1/46
Statistics and Data
Analysis
Professor William Greene
Stern School of Business
IOMS Department
Department of Economics
Part 6: Bivariate Random Variables
6-2/46
Statistics and Data Analysis
Part 6 Bivariate Random
Variables and
Correlation
Part 6:

1
Statistics and Data
Analysis
Professor William Greene
Stern School of Business
IOMS Department
Department of Economics
Introduction
2
Statistics and Data
Analysis
Introduction
Introduction
3
Professor William Greene;
Economics and IOMS Departments
Offic

1/35
Statistics and Data
Analysis
Professor William Greene
Stern School of Business
IOMS Department
Department of Economics
Part 5: Random Variables
2/35
Statistics and Data Analysis
Part 5 Random Variables
Part 5: Random Variables
3/35
Random Variable
Us

1/32
Statistics and Data
Analysis
Professor William Greene
Stern School of Business
IOMS Department
Department of Economics
Part 7: Bernoulli and Binomial Distributions
2/32
Statistics and Data Analysis
Part 7
Discrete Distributions:
Bernoulli and Binomi

4-1/25
Statistics and Data
Analysis
Professor William Greene
Stern School of Business
IOMS Department
Department of Economics
Part 4: Expected Value
4-2/25
Statistics and Data Analysis
Part 4 Expected
Value
Part 4: Expected Value
4-3/25
Expected Value Exp

1/47
Statistics and Data
Analysis
Professor William Greene
Stern School of Business
IOMS Department
Department of Economics
Part 9: Normal Distribution
2/47
Statistics and Data Analysis
Part 9 The Normal
Distribution
Part 9: Normal Distribution
3/47
The N

1/34
Statistics and Data
Analysis
Professor William Greene
Stern School of Business
IOMS Department
Department of Economics
Part 8: Poisson Model for Counts
2/34
Statistics and Data Analysis
Part 8 The Poisson
Distribution
Part 8: Poisson Model for Counts

A-i ANSWERS
Executive Compensation case
1. Verify the distribution is bellshaped.
2. No. Skewness remains after excluding the extreme values.
3. The correlation is r = 1. Log base a of a number is 2.3 times
time log base 10.
4. Closer to the median. 'Avg

,mli llaiilmwm , ,7,
A-Z ANSWERS
g) In the rst three quarters sales and income grow. Then,
in the fourth quarter, sales grow dramatically
(holiday shopping) even though disposable income does
not. Suggests many-people borrow to nance holiday
purchases

ANSWERS A-'I I
' out of the Chapter 8
Mix and Match
lanation involves fouls by the opposing
d 12 points on free throws in the 1. f 2_ d 3,
c 4.e 5.b 6.a
ryant score
period alone Misses assoc1ated With fouls are
d in the box score as misses 'ust the sa

A QUICK INTRODUCTION TO MINITAB 16
Useu also for Student anfrab
The Stern School Statistics Group uses Minitab Reiease 16 for Microsoft Windows as its
course software. This program was chosen specically for use with course B01 .1 305.
Courses C22.0103, (3

CHAPTER 7 Probabiiity
168
Booles inequality
Intersection of Events
A and B : cfw_outcomes in both A and B (= A ('1 B)
Mix and Match
Find the matching item from the second column.
P(AlorA20r.orAk)~3p1 +p2+.+pk
1. Independent events (a) P(A and B) % HA) >

2-0
- UCL = 1.562
;t.
O'Ln
1. .9!
ti
5 w 0'5 [1.0 = 0.320
0 g 0.0
e05
i 6
v1.0 LCL = 4.022
'|.5
5 10 15 20 25 so
Sample
a
a)
53 7
. s 5% E
'5 o 5
s s 4
pg 3 - not = 3.39
12 *6 2 Avg : 2.43
E 0. LCL = 1.47
w u- t
O
0
S 10 15 20 25 30
Sample
of c