y = 0.3666x + 38.759
R = 0.71
People who read (%)
(b) The slope in the regression equation is 0.366.
(c) If the literacy rate of people in Afghanistan is raised to 50%, x=50
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110 Chapter 5
gesture while alone in your room and no one is there to see you, then, most theorists
would argue, communication has not taken place. The same, of course, is true of verbal messages: if you recite a speech and no one hears it, then communica
252 Chapter 10
This chapter focuses on specific relationship types: (1) friendship, (2) love, (3) family, and
(4) workplace relationships. We establish what these are and explore how interpersonal
communication within each of these relationships can be ma
Philip H. Jos
College of Charleston
Mark E. Tompkins
University of South Carolina
Keeping It Public: Defending Public Service Values in a
Customer Service Age
Notwithstanding the persistence and proliferation of
to the breaking point with a RAND Corporati
30 Chapter 2
2.1 Define culture, enculturation, and acculturation and explain the relevance of
culture to interpersonal communication.
Culture may be defined as (1) the relatively specialized lifes
Clyde K. M. Kluckhohn (19051960) was born in Iowa, and studied anthropol
ogy at Princeton, Wisconsin, Vienna, and Oxford universities. In 1935, Kluckhohn
accepted a position at Harvard University, where he stayed for the rem
82 Chapter 4
Principles of Verbal Messages
4.1 Paraphrase the principles of verbal messages that define how verbal messages
work in interpersonal communication.
To clarify the nature of verbal mes
2 Chapter 1
PRELIMINARIES TO INTERPERSONAL
This chapter introduces the study of interpersonal communication and explains why
interpersonal communication is so important; it examines the nature of this unique
form of communication, its elements, and
54 Chapter 3
This chapter discusses two interrelated topicsthe self (including self-concept, selfawareness, and self-esteem) and the nature of perception. Then these concepts are
applied by looking at the ways in which you form impressions of others and h
Lunar eclipse The phenomenon in which the shadow of
Earth falls on the Moon, producing the relative darkness
of the full Moon.
Meteor The streak of light produced by a meteoroid burning
in Earths atmosphere; a shooting star.
Meteorite A meteoroid, or a pa
Mathematics of Finance (3)
Annuities; Target Deposits
An annuity is a series of equal payments made at fixed intervals for a specified
number of periods. The payment is denoted by a.
1. If the payments come at the end of each period, then the
1. A 1 m3 sample of moist soil weighs 2000 kg. The water content is 10%. Assume s
is 2.70 Mg/m3. With this information, fill in the blanks in the phase diagram.
2. The dry density of a soil is 1.65 Mg/m3 and the solids have a density
Most of the optimization problems considered
to this point have had a single objective.
Two other modeling techniques:
Goal Programming (GP): no one specific objective
function but r
When one or more variables in an LP problem
must assume an integer value we have an
Integer Linear Programming (ILP) problem.
ILPs occur frequently
Integer variables als
2. Let X = no. of customers who purchased a particular coupon special
N = 2000
n = 50
X = 894.50
unknown population distribution of X
n = 50 > 30 Central Limit Theorem
Sampling distribution of is approximately normal.
1. An orange juice producer buys all his oranges from a large orange orchard. The
amount of juice squeezed from each of these oranges is assumed to be normally
distributed with a mean of 4.70 ounces and a standard deviation of 0.40 ounce.
Confidence Interval Estimation
There are two types of estimates for unknown population parameters:
1. Point estimate: consists of a single sample statistic value which is used to estimate the
true population parameter value.
2. Interval estimate
QMDS SATISTICS AND DATA ANALYSIS
Assignment # 3
Textbook, Problem 8.47, p.307
Let X = number of companies that informally monitored social networking sites to stay
on top of information related to their company
n = 500
p = 500 =
Fundamentals of Hypothesis Testing: One-Sample Tests
Hypothesis testing is a procedure based on sample evidence and probability theory to
determine whether the hypothesis is a reasonable statement and should not be rejected, or
is unreasonable a
1. A representative of a community group claims that the average income per
household in the area is $25,000. Suppose that for the type of area involved
household income can be assumed to be approximately normally distributed, and
the standard d
1. Let X = household income
1 = first community
2 = second community
H0: 1 2 = 0
H1: 1 2 0
Both population distributions are normal Sampling distribution of ( X 1 X 2 ) is normal.
n1 = 30 & n 2 = 40
X 1 = 35500 & X 2 = 34600