Chapter 15
Inferential Statistics
Multiple choice questions
1. _________ is to _________ as sample is to statistic
a. Descriptive; inferential
* b. Population; parameter
c. Inferential; descriptive
d. Parameter; population
2. The sampling distribution of the mean is important for
a. descriptive statistics.
b. determining what type of inferential test is appropriate.
*c. determining if a given sample came from a particular
population.
d. determining the mean of a sample.
3. The mean of the sampling distribution of the mean is
a. always equal to 0.
b. always equal to 100.
*c. always equals the mean of the population.
d. depends on the size of the sample (n).
4. Which of the following TRUE in regards to sampling
distributions?
a. The only sampling distribution possible is the sampling
distribution of the mean. * b. Sampling distributions can
be made for any sample statistic.
c. Sampling distributions are not theoretical probability
distributions.
d. Can only be created for samples of N = 40+.
5. The standard deviation of a distribution of means (sampling
distribution) is calleda. the mean deviation.
, b. the
standard mean
deviation.* c.
standard error.
d. the absolute mean deviation.
6. A ______ statistic follows a known sampling distribution and is
used in significance testing.a. parameter
b. standard
* c. test
d. point
7. Using the mean of a sample to estimate the mean of a
population is called
a. interval estimation.
* b. point estimation.
c. sample mean estimation.
d. population mean estimation.
8. Rather than using a single score as an estimate of the
population mean we may choose to identify a range of values that
likely contains the mean value. What is this type of estimation
called?
* a. Interval estimation
b. Point estimation
c. Mean range estimate
d. Probability estimation
9. Other factors remaining constant, how does the 95%
confidence interval differ from the 99% confidence interval?
a. It is wider
b. It contains more values
*c. It contains fewer values
d. The range is greater
10. Which of the following factors affects the width of a
confidence interval?
, * a. sample size
b. sample mean
c. population mean
d. population size
11. Hypothesis testing is
a. a way of determining truth.
*b. a decision making process.
c. a way to determine if our hypothesis has construct validity.
d. all of the above.
12. Hypothesis testing is
a. one method of making inferences about populations based
on samples.
b. a method that tests only the null hypothesis.
c. a method of determining support for the scientific
hypothesis by rejecting the null
hypothesis.
* d. all of the above.
13. The basic principle of statistical tests discussed in the text is
determining whether the different groups of participants
a. were treated differently.
*b. represent the same or different populations.
c. performed as expected.
d. were randomly selected.
14. When the null hypothesis is rejected, this provides support for
a. your theory.
*b. the scientific hypothesis.
c. the idea that the independent variable did not have an
effect.
d. both ‘b’ and ‘c’.
Inferential Statistics
Multiple choice questions
1. _________ is to _________ as sample is to statistic
a. Descriptive; inferential
* b. Population; parameter
c. Inferential; descriptive
d. Parameter; population
2. The sampling distribution of the mean is important for
a. descriptive statistics.
b. determining what type of inferential test is appropriate.
*c. determining if a given sample came from a particular
population.
d. determining the mean of a sample.
3. The mean of the sampling distribution of the mean is
a. always equal to 0.
b. always equal to 100.
*c. always equals the mean of the population.
d. depends on the size of the sample (n).
4. Which of the following TRUE in regards to sampling
distributions?
a. The only sampling distribution possible is the sampling
distribution of the mean. * b. Sampling distributions can
be made for any sample statistic.
c. Sampling distributions are not theoretical probability
distributions.
d. Can only be created for samples of N = 40+.
5. The standard deviation of a distribution of means (sampling
distribution) is calleda. the mean deviation.
, b. the
standard mean
deviation.* c.
standard error.
d. the absolute mean deviation.
6. A ______ statistic follows a known sampling distribution and is
used in significance testing.a. parameter
b. standard
* c. test
d. point
7. Using the mean of a sample to estimate the mean of a
population is called
a. interval estimation.
* b. point estimation.
c. sample mean estimation.
d. population mean estimation.
8. Rather than using a single score as an estimate of the
population mean we may choose to identify a range of values that
likely contains the mean value. What is this type of estimation
called?
* a. Interval estimation
b. Point estimation
c. Mean range estimate
d. Probability estimation
9. Other factors remaining constant, how does the 95%
confidence interval differ from the 99% confidence interval?
a. It is wider
b. It contains more values
*c. It contains fewer values
d. The range is greater
10. Which of the following factors affects the width of a
confidence interval?
, * a. sample size
b. sample mean
c. population mean
d. population size
11. Hypothesis testing is
a. a way of determining truth.
*b. a decision making process.
c. a way to determine if our hypothesis has construct validity.
d. all of the above.
12. Hypothesis testing is
a. one method of making inferences about populations based
on samples.
b. a method that tests only the null hypothesis.
c. a method of determining support for the scientific
hypothesis by rejecting the null
hypothesis.
* d. all of the above.
13. The basic principle of statistical tests discussed in the text is
determining whether the different groups of participants
a. were treated differently.
*b. represent the same or different populations.
c. performed as expected.
d. were randomly selected.
14. When the null hypothesis is rejected, this provides support for
a. your theory.
*b. the scientific hypothesis.
c. the idea that the independent variable did not have an
effect.
d. both ‘b’ and ‘c’.
