The Practice of Statistics for the AP Exam
5th EditionDaniel S. Yates, Daren S. Starnes, David Moore, Josh Tabor
2,433 solutions
Statistical Techniques in Business and Economics
15th EditionDouglas A. Lind, Samuel A. Wathen, William G. Marchal
1,236 solutions
Statistics for Business and Economics
11th EditionDavid R. Anderson, Dennis J. Sweeney, Thomas A. Williams
2,223 solutions
Mathematical Statistics with Applications
7th EditionIrwin Miller, Marylees Miller
3,341 solutions
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Terms in this set (24)
Which of the following symbols represents the mean of a sample?
X bar
Which of the following symbols represents the mean of a population
Mu
A wildlife management
organization is interested in estimating the number of moose in a particular region. Organization employees divide the region into 10 sections and randomly select four sections to survey the number of moose present. What sampling method is being used?
a. Judgment sampling
b. Stratified random sampling
c. Cluster sampling
d. Systematic sampling
C. cluster
A sample chosen by stratified random sampling
involves
a. a sample chosen by a knowledgeable person on the subject of the study.
b. randomly selecting one of the first k elements in an ordered population and then selecting every kth element in the population thereafter.
c. selecting a simple random sample of clusters from the available clusters in the population.
d. selecting a simple random sample from each of a given number of strata formed from the elements in the population.
D
The sampling distribution describes the
a. sample size.
b. long-run behavior of a statistic.
c. population proportion.
d. short-term behavior of the population.
B
A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____.
a. systematic sampling
b. convenience sampling
c.
stratified random sampling
d. cluster sampling
A
A probability distribution for all possible values of a sample statistic is known as a _____.
a. sample statistic
b. sampling distribution
c. parameter
d. simple random sample
B
In point estimation, data from the _____.
a. sample are used to estimate the sample
statistic
b. population are used to estimate the population parameter
c. sample are used to estimate the population parameter
d. None of these answers are correct.
C
A simple random sample from a process (an infinite population) is a sample selected such that _____.
a. each element selected comes from the same population and each element is selected independently
b. each element is selected
independently
c. each element selected comes from the same population
d. the probability of being selected changes
Hide Feedback
A
normal vs standard normal distribution
normal - bell shaped, total area = 1, symmetrical
standard normal = mean = 0, standard deviation = 1
The value of the _______ is used to estimate
the value of the population parameter.
a. population statistic
b. sample parameter
c. population estimate
d. sample statistic
????
The purpose of statistical inference is to provide information
about the ______.
a. sample based upon information contained in the population
b. population based upon information contained in the sample
c. population based upon information contained in the
populatio
n
d. mean of the sample based upon the mean of the population
B
A simple random sample from a process (an infinite population)
is a sample selected
such that _____.
a. each element selected comes from the same population
b. each element is selected independently
c. each element selected comes from the same population and each element is selected independently
d. the probability
of being selected changes
C
A numerical measure from a population, such as a population mea
n, is called _____.
a. a statistic
b. a parameter
c. a sample
d. the mean deviation
B
Stratified random sampling is a m
ethod of selecting a sample in
which _____.
a. the sample is first divided into groups, and
then random sam
ples are
taken from each group
b. various strata are selected from the sample
c. the population is first divided into groups, and then random
samples
are drawn from each group
d. None of the answers is correct.
C
The population we want to make inferences about is the ______.
a. sampled population
b. frame
c. target population
d. finite population
C
For the standard normal probability distribution, the area to t
he
left of the mean is:
A) 0.50
B) any value between zero to one.
C) -0.50
D) 1.00
A
A negative value of z indicates:
A) the number of standard deviations an observation is below th
e mean.
B) a mistake has been made in computations, since z cannot be
n
egative.
C) the number of standard deviati
ons an observation is above th
e mean.
D) the data has a negative mean.
A
Selection bias occurs when ________.
A) the population has been divided into strata
B) portions of the population are excluded on the sample
C) cluster sampling is used instead of stratified random sampli
ng
D) those responding to a survey or poll differ
systematically f
rom the non-respondents
B
is a sample of
n
observations
which has the
same probability of being selected
from the population as any other sample of
n
observations.
It is theoretically the ideal method of sampling.
simple random sample
Randomly survey students walking on campus or shopping mall.
Take the next 20 objects off the production line.
convenience sampling
Choose a starting point randomly and then systematically take o
bjects at a certain
number apart.
systematic sampling
Divide the population into mutually exclusive and collectively
exhaustive
groups,
called
strata
.
Randomly select observations from each stratum, which are
proportional to the stratum's size.
stratified sampling
Divide the population into mutually exclusive and
collectively exhaustive
groups
, called
clusters
.
Randomly select clusters.
Sample every observation in those randomly selected clusters.
cluster sampling
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