Homework #5
Chapter 14
Q34
a)
b)
c) 0.07
1-0.75=0.2525%
0.49/0.56= 0.87587.5%
Having health insurance and a retirement plan are not
0.49
0.19
independent events. 87.5% of people with health insurance
have a retirement plan and overall 68% have health insu
Homework #4
Chapter 13
Q22
It is incorrect because residence might have both a garage and a swimming pool. In fact, from
observation, if a residence has a swimming pool, it can be assumed it will also have a garage.
Q26
a) George just added together the p
Homework 8
Chp 19
Q12
a) H0: 40% of high school graduates go on to college; p=0.4
HA: The percentage of high school graduates that go on to college is not 40%; p0.4
b) H0: 20% of cars of a certain model need transmission work after being driven
between 50
The Normal Distribution
Statistics for Business Fall 2016
1
The Normal Distribution
Very important distribution in statistical theory
Many phenomena around us and in nature are
modeled by a normal distribution
Quality characteristics of finished product
The Normal Distribution
Statistics for Business Fall 2016
1
The Normal Distribution
Very important distribution in statistical theory
Many phenomena around us and in nature are
modeled by a normal distribution
Quality characteristics of finished product
The Normal Distribution
Statistics for Business Fall 2016
1
The Normal Distribution
Very important distribution in statistical theory
Many phenomena around us and in nature are
modeled by a normal distribution
Quality characteristics of finished product
The Normal Distribution
Statistics for Business Fall 2016
1
The Normal Distribution
Very important distribution in statistical theory
Many phenomena around us and in nature are
modeled by a normal distribution
Quality characteristics of finished product
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
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
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 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
Aggregate Demand and Aggregate Supply
Short-Answer Practice Problem and Multiple Choice Questions
ARSC 1432 Macroeconomics Co-Seminar
SPRING 2009
1. a. AD shifts to the right
b. Price level rises and real output rises.
c. Price level rises and real output
Production and Growth
ARSC 1432 Macroeconomics Co-Seminar
SPRING 2009
Productivity=amountofgoodsandservicesproducedforeachhourofworking
Determinedby:
naturalresources=land,minerals,etc.
humancapital=knowledgeandskillsofworkers
physicalcapital=stockofequip
CHAPTER 9 SOME SOLUTIONS
9.10
A random sample of n = 25, variance =
Consider the null hypothesis
H :
0
2
80
and the sample mean is = 70.
versus the alternative
H :
1
80
.
Compute the p-value
a.
= 225.
=
= -3.33.
= .0004
2
x
70
80
p
value
P
(
z
3.33)
0
p
PROBLEM SET 1
ERCAN KARADAS
(To be handed in at the beginning of the recitation, June 11)
(1) This exercise should be done in Excel and only the output should be submitted.
Download the data file Price-Quantity from the Dropbox folder.
(a) Group the varia
PROBLEM SET 4 - Solutions
Statistics, Summer 2015, NYU
Ercan Karadas
(To be handed in at the beginning of the class on Tuesday, June 30)
(1) Random variable: X: Weight of a cereal box, and we know that X
N (20, (0.6)2 ).
2
2
(0.6)
2
the standard error o
PROBLEM SET 2
Statistics, Summer 2015, NYU
Ercan Karadas
(To be handed in at the beginning of the recitation on Thursday, June 18)
(1) A bowl contains 16 chips, of which 6 are red, 7 are white, and 3 are blue.
Suppose four chips are to be drawn at random
CHAPTER 7 SOME SOLUTIONS
7.12
a.
x z 2
b.
x z 2
c.
7.20
a.
x z 2
=
n
=
n
=
n
50 1.96 40
64
= 40.2 to 59.8
85 2.58 20
225
= 81.56 to 88.44
510 1.645 50
485
= 506.27 to 513.73
= .05, n = 25, sample mean = 560, s = 45
=
= 541.424 to 578.576
s
45
x tv , 2
CHAPTER 6 SOME SOLUTIONS
6.6 a. Mean and variance of the sampling distribution for the sample mean
x 100
;
2
2
900
x n
30 x x 2 30
30
b.
= 1.64
109 100
zx
30
Probability that
= 1 Fz(1.64) = .0505
x 109
c.
96 100
zx
30
= .73; 1 Fz(.73) = .2327.
= 1.83
Assignment 2
Due date: 9/29/16
1. A publishing company is planning to publish a new book. Information from past years publications
indicates that 20% are huge successes, 50% are modest successes, and 30% are losers. However, before a
publishing decision i
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
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
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
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) >
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
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