1) The process of using sample statistics to draw conclusions about true population parameters is
called
A) statistical inference.
B) the scientific method.
C) sampling.
D) descriptive statistics.
Answer: A
2) Those methods involving the collection, prese

correlation coefficient (r):
A measure of the strength of the linear relationship between x and y
that does not depend on the units in which x and y are measured.
(page 358)
cross-sectional data:
Data that are observed at a single point in time. (page 361

alternative
(research)
hypothesis:
greater than
alternative:
less than
alternative:
not equal to
alternative:
null hypothesis:
one-sided
alternative
hypothesis:
p value
(probability
value):
A statement that will be accepted only if there is convincing sam

continuous probability
A curve that is defined so that the probability that a random variable
distribution (or
will be in a specified interval of numbers is the area under the curve
probability curve):
corresponding to the interval. (page 147)
exponential

central limit theorem: A theorem telling us that when the sample size n is sufficiently large,
then the population of all possible sample means is approximately
normally distributed no matter what probability distribution describes the
sampled population.

binomial distribution:
binomial experiment:
binomial random
variable:
binomial tables:
continuous random
variable:
discrete random
variable:
expected value (of a
random variable):
The probability distribution that describes a binomial random variable.
(pa

bar chart:
A graphical display of categorical data (data in categories) made up of
vertical or horizontal bars. (page 62)
box-and-whiskers
A graphical portrayal of a data set that depicts both the central
display (box plot):
tendency and variability of th

categorical (qualitative)
variable:
census:
cluster sampling
(multistage cluster
sampling):
descriptive statistics:
A variable with values that indicate into which of several categories a
population unit belongs. (page 2)
An examination of all the units i

dummy variable:
A variable that takes on the value 0 or 1 and is used to describe the effects
of the different levels of a qualitative independent variable in a regression
model. (page 454)
experimental
The range of the previously observed combinations of