1
Tanya Lopez
Berkeley College
MGT 220
Professor Maneri
August 12th 2015
2
Humana a seller of Medicare policies is currently number fifty eight on the fortune 500
company listing. Based out of Louisville, Kentucky, and founded in 1985 it ranks as the thir
Stephanie Lantigua
April 17, 2016
Professor Leror
MAT 150 -099 WB Elementary Statistics Special assignment for Sections 8.2 and
8.3
1) When people smoke, the nicotine they absorb is converted to cotinine, which
can be measured through blood tests. A rando
Contents
Solutions to the Exercises
1
2
3
4
5
6
7
8
9
10
11
12
13
14
The Nature of Probability and Statistics 1
Frequency Distributions and Graphs 7
Data Description 30
Probability and Counting Rules 61
Discrete Probability Distributions 83
The Normal Dis
Chapter 14 - Sampling and Simulation
10.
Clusters are easy to use since they already
exist, but it is difficult to justify that the
clusters actually represent the population.
EXERCISE SET 14-1
1.
Random, systematic, stratified, cluster.
11 through 20.
An
Preface
This manual includes solutions to odd and even exercises in Elementary Statistics: A Step
by Step Approach, 9e by Allan G. Bluman. Solutions are worked out step-by-step where
appropriate and generally follow the same procedures used in the example
Chapter 13 - Nonparametric Statistics
Note: Graphs are not to scale and are
intended to convey a general idea.
Answers may vary due to rounding.
7.
EXERCISE SET 13-1
8.
DATA
RANK
DATA 22
RANK 1
1.
Non-parametric means hypotheses other than
those using pop
Chapter 12 - Analysis of Variance
Note: Graphs are not to scale and are
intended to convey a general idea.
Answers may vary due to rounding.
7. continued
s# =
B
7(107.857127.619)# 7(136.143127.619)# 7(138.857127.619)#
31
s# = 2063.2
B
EXERCISE SET 12-1
s#
Chapter 8 - Hypothesis Testing
Note: Graphs are not to scale and are
intended to convey a general idea. Answers
may vary due to rounding.
7.
Type I is represented by !, type II is
represented by " .
EXERCISE SET 8-1
8.
When the difference between the samp
Chapter 9 - Testing the Difference Between
Two Means, Two Proportions, and Two Variances
Note: Graphs are not to scale and are
intended to convey a general idea.
Answers may vary due to rounding, TI-83's,
or computer programs.
5. continued
Do not reject t
Chapter 10 - Correlation and Regression
11.
Note: Graphs are not to scale and are
intended to convey a general idea.
2 00
Robberie
Answers may vary due to rounding, TI-83's,
or computer programs.
1 50
1 00
50
EXERCISE SET 10-1
0
0
1.
Two variables are rel
Chapter 11 - Other Chi-Square Tests
Note: Graphs are not to scale and are
intended to convey a general idea.
5. continued
Reject the null hypothesis. There is enough
evidence to support the claim that the
proportions are different from those stated in
the
Chapter 6 - The Normal Distribution
Note to instructors: Graphs are not to scale
and are intended to convey a general idea.
Answers are generated using Table E.
Answers generated using the TIcalculator
will vary slightly. Some TI calculator
answers are sh
Chapter 7 - Confidence Intervals and Sample Size
Note: Answers may vary due to rounding.
9. continued
4.7
28.1 1.96( 40 ) < . < 28.1
EXERCISE SET 7-1
4.7
1.96( 40 )
28.1 1.5 < . < 28.1 1.5
26.6 < . < 29.6
1.
A point estimate of a parameter specifies a
sp
Chapter 3 - Data Description
Note: Answers may vary due to rounding, TI 83's, or computer programs.
EXERCISE SET 3-1
1.
a. \
D\
8
#%)'&
#&
*%'
c. Mode: ")!
2.
a. \
D\
8
d. MR:
%('"*
"&
$"(%'
c. Mode: no mode
3.
a. \
D\
8
b. MD: *%!
%*)#
$(
c. Mode =
Chapter 4 - Probability and Counting Rules
Note: Answers may vary due to rounding,
TI-83's or computer programs.
13. continued
b. !
d. "
EXERCISE SET 4-1
14.
a. 1
b. #
$
c. "
$
d. 0
1.
A probability experiment is a chance process
which leads to well-defin
Chapter 5 - Discrete Probability Distributions
Note: Answers may vary due to rounding,
TI-83's or computer programs.
9.
Yes
EXERCISE SET 5-1
10.
Yes
1.
A random variable is a variable whose
values are determined by chance. Examples
will vary.
11.
No; the
Chapter 2 - Frequency Distributions and Graphs
12.
Class width is not uniform.
EXERCISE SET 2-1
1. Frequency distributions are used to
organize data in a meaningful way, to
determine the shape of the distribution, to
facilitate computational procedures fo
Chapter 1 - The Nature of Probability and Statistics
EXERCISE SET 1-1
14. This is a descriptive statistic.
1. Statistics is the science of conducting
studies to collect, organize, summarize,
analyze, and draw conclusions from data.
15. This is a descripti
Statistics — Semester 1 Review Ka
Fromm-v14 - Vocabulary 7
Classify each variable as qualitative or quantitative.
1. Weight of students in the class. 2. Amount of calories in a sandwich. 3. Month you were born.
gum”? taxi-lac I 3W ﬁver/Hue Zita/«rafﬂe
Ide
Name: Nirajkumar Mistry
Prof: Lenore Lerer
MAT-150-096WB
Pg. 122 124 #1 and 15
1.Calories in Salads Are salads a healthy menu choice? Listed below are the numbers of calories in
selected entre salads at several popular restaurants. Find the mean, median,
Name: Nirajkumar Mistry
Prof: Lenore Lerer
MAT-150-096WB
Pg 24 - 26 # 1, 6, 7,
9, 10, 15 - 22
1. Explain the difference between an observational and an experimental study.
In an observational study, the researcher observes what it happening and tries to d
Name: Nirajkumar Mistry
Prof: Lenore Lerer
MAT-150-096WB
Pg. 5 #
1-5
1. Define statistics.
Statistics is the sciences of conducting studies to collect, organize, summarize, analyze, and draw
conclusions from data.
2. What is a variable?
A variable is a ch
Course Guide, Expectations, and Grading policy
Introduction
Taking an online course is very different than taking a face-to-face (F2F) course for some
obvious and not-so-obvious reasons. The most obvious difference is that you do not have to
come to campu
BERGEN COMMUNITY COLLEGE
DIVISION OF MATHEMATICS, SCIENCE, AND TECHNOLOGY
MATHEMATICS DEPARTMENT
Spring 2016
PERSONAL COURSE OUTLINE
Instructor:
Lenore Lerer
E-mail address:
llerer@bergen.edu or use Moodle
Telephone:
201-447-7474
Office Number:
B111A
Tues
Learning Objectives for MAT 150 Statistics 1
Course Learning Objectives
Upon successful completion of this course the student will be able to:
1. Create graphical displays of data and use the graphs to analyze the data.
2. Demonstrate comprehension of app
Section 7.6 Dierential Equations: Direction Fields
Dierential Equations
A dierential equation is an equation that contains an unknown function and one or more of its
derivatives. Here are some examples:
y = 1,
y = x,
y = xy
y + 2y + y = 0
d3 y
d2 y dy
+x