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.
Ans
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
alternative
(research)
hypothesis:
greater than
alternative:
less than
alternative:
not equal to
alternative:
null hypothesis:
one-sided
alternative
hypothesis:
p value
(probability
value):
A statemen
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)
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 pro
binomial distribution:
binomial experiment:
binomial random
variable:
binomial tables:
continuous random
variable:
discrete random
variable:
expected value (of a
random variable):
The probability dist
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 cen
categorical (qualitative)
variable:
census:
cluster sampling
(multistage cluster
sampling):
descriptive statistics:
A variable with values that indicate into which of several categories a
population u
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)
experiment