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 to meet
the probability that it is correct.
#12 (p. 365)
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 = 0.4772
b. P(0<Z<3.0) = .9987  .5 = 0.4987
c. P(0<Z<1.5)
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 was the herbal tea they
hypothesized would have restorati
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) Var(X+Y)
d) Var (2X + 3Y)
6) A multiplechoice quiz ha
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 that it leaves on time
and arrives on time is 0.60. If it
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 study, the variable Age represents
the age (in months)
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 relationship
between the defect rate and the production rate per
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 following result:
Shelf Space  Sales
(Feet)
 ($100)
2
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 relationship between the defect rate and
the production
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
Error
LackofFit
Pure Error
Total
DF
1
1
18
17
1
19
Ad
Handout assignment II
Due date: 9:30 AM 2/9/2017
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 relationship between the defect rate a
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
Chapter 6 The Standard Deviation as a Ruler and the Normal Model
57
Chapter 6 The Standard Deviation as a Ruler and the Normal Model
1. Payroll.
a) The distribution of salaries in the companys weekly payroll is skewed to the right. The
mean salary, $700,
Statistics for Business Control and Regression Models
STAT UB 103

Spring 2012
14W4008(online) 3/1/07 12:49 PM Page 141
14.3
Inferences Based on an Estimated Model 141
.
14.3 Inferences Based on an Estimated Model
In the section 14.2 in the textbook,we discussed estimating the coefficients a, b1, p ,
bk in the model y a b1x1 b2x2
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman
Solutions to Homework 3
Problem 1
Suppose you flip five coins. What is the probability of getting at least
one head?
Solution: Define: A=cfw_at least one head in flips of
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman,
Solutions to Homework 4
(12) Problem 1 A construction job is comprised of two tasks, which we
call task A and Task B. The two tasks are initiated simultaneously and their
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.06Statistics for Business Control and Regression Models
Prof. Frydman
Solutions to Homework 2
(8) Problem 1
In the class survey, 25 females and 47 males reported their expected annual salaries.
a. (2) Obtain box plots of expected annual sala
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman,
Solutions to Homework 5
(6) Problem 1
Suppose that the dollar amount that you win (could be negative) in a
game is normally distributed with the mean of $30 and standard
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman
Solutions to Homework 1
Problem 1
In the following two scenarios, state what population is involved and why the sample is biased.
a. You want to know information about con
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman
September 6, 2016
Homework 1due Friday, September 15
For any assignment you are permitted to work in teams, but each student must independently
write their own solution (
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman
September 22, 2016
Homework 3due September 29
Problem 1
Suppose you flip five coins. What is the probability of getting at least
one head?
Problem 2
How many answer sheet
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman,
October 6, 2016
Homework 4
(due date: October 13)
Reading: LN# 6 and 7. MBS: 4.14.3.
Problem 1 A construction job is comprised of two tasks, which we call
task A and Tas
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.05Statistics for Business Control and Regression Models
Prof. Frydman,
October 13, 2016
Homework 5
(due date: October 20)
Reading: Lecture Notes #8 and #9.
MBS: 4.5, 4.6 (up to page 229), 5.15.3
Problem 1
Suppose that the dollar amount that
Statistics for Business Control and Regression Models
STAT UB 103

Fall 2016
STATUB.0103.06Statistics for Business Control and Regression Models
Prof. Frydman
September 16, 2015
Homework 2due Thursday, September 22
Problem 1
In the class survey, 25 females and 47 males reported their expected
annual salaries. The Excel and Mini