Question

1. The difference between a sample mean and the population mean or the difference between the means of two random samples is called: A. nonresponse error. B. selection bias. C. sampling error. D. nonsampling error.

2. The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a videocassette recorder over the past 12 months are satisfied with their products. If there are 4 different brands of videocassette recorders made by the company, the best sampling strategy would be to use a: A. simple random sample. B. stratified random sample. C. cluster sample. D. self-selected sample.

3. When every possible sample with the same number of observations is equally likely to be chosen, the result is called a: A. simple random sample. B. stratified random sample. C. cluster sample. D. biased sample.

4. Which of the following types of samples is almost always biased? A. Simple random samples. B. Stratified random samples. C. Cluster samples. D. Self-selected samples.

Answer #1

1- ___________ tracks events as they occur and act as an
alternative to structured observation in quantitative
research
A-Focus group
B-Trend survey
C-Video survey
D-Diary method
2- Biased samples represent the whole population.
True
False
3- A sample that reflects the population accurately is called
a
A-Representative Sample
B-Sampling Frame
C-Sample Bias
D-Population
4- The larger the sample, the more precise and representative it is
likely to be.
True
False
5- Quota sampling is non-probability sampling technique, similar
to
A-Cluster...

When group is truly selected randomly from a
population, the probability of its mean value being higher than the
parameter mean is
a. 0.00
b. .50
c. 1.00
d. .33
Whenever the mean of the distribution of differences
equals zero, then one can be fairly safe in concluding that:
a. the samples probably represent a single
population
b. the samples probably represent different populations
c. there was absolutely no sampling error
d. actual standard score
Sampling error is assumed to...

Select True or False from each pull-down menu, depending on
whether the corresponding statement is true or false.
True False
1. A nonsampling error may be caused
by the wording of a questionnaire.
True False
2. The difference between a sample
mean and the corresponding population mean is called a sampling
error.
True False
3. Multiple choice questionnaire
design allows the respondent to freely formulate his or her own
answer and expand on the subject of the question.
True False ...

1-In order to complete a statistics project, you pass out
surveys to the first 25 people you find in the CC building.
A) Simple Random Sampling B) Stratified Sampling C) Cluster
Sampling D) Systematic Sampling E) Convenience Sampling
2-The FDA chooses 15 hospitals around the country at random.
Every doctor in the chosen hospitals is asked to participate in the
study.
A) Simple Random Sampling B) Stratified Sampling C) Cluster
Sampling D) Systematic Sampling E) Convenience Sampling
3-A tax auditor...

Which is better, a score of 90 on a test with a mean of 71 and a
standard deviation of 15, or a score of 688 on a test with a mean
of 493 and a standard deviation of 150?
Question 5 options:
a)
none of the above
b)
a score of 688
c)
Both scores have the same position in the distribution.
d)
a score of 90
Question 6 (1 point)
Identify and circle the type of sampling used...

A researcher is studying nurses’ attitudes toward evidence-based
practice and sends a survey to a sample of all nurses in a
professional membership roster using probability methods for
selecting the elements for the sample. What type of sampling did
the researcher use?
A.
Stratified random sampling
B.
Cluster sampling
C.
Systematic sampling
D.
Simple random sampling

Identify which sampling technique was used to select the given
sample. Every 175th racquetball manufactured is selected to
measured its radius.
A)Random
B)Systematic
C)Stratified
D)Cluster

Researchers are trying to estimate the mean student loan amount
owed by students in a large university and the proportion of all
students who carry a student loan. A group of 50 students is
randomly selected from each of the 200 majors within the
university. The responses of these students showed that 30% held a
student loan and the mean debt was $18450.
(a）Fill in each of the blanks with these possible terms:
population, parameter, sample, statistics, sample size, sample...

In a study, the sample is chosen by dividing the class by
gender, and choosing 5 boys and 5 girls given that the class has an
equal number of boys and girls
What is the sampling method?
a) Simple Random
b) Systematic
c) Stratified
d) Cluster
e) Convenience

You want to gather descriptive statistics to predict results of
a general election in which there is evidence that people in
different demographic groups (i.e., by gender, political party, and
socioeconomic status) will vote differently. How do you sample
registered voters? Indicate why it is fitting.
A. Convenience sample
B. Simple random sample
C. Stratified random sample
D. Stratified random sampling with proportionate
representation
E. Stratified random sampling with oversampling
F. Cluster sampling

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