Download b) the simplest of the hypothesis tests.

Susan A. Nolan and Thomas E. Heinzen
Statistics for the Behavioral Sciences
Second Edition
Chapter 7:
Hypothesis Testing with z Tests
iClicker Questions
Copyright © 2012 by Worth Publishers
Chapter 7
1. The z test is:
a) another way to calculate the mean.
b) the simplest of the hypothesis tests.
c) a non-parametric test.
d) used only with data that is composed of negative
numbers.
Chapter 7
(Answer)
1. The z test is:
a) another way to calculate the mean.
b) the simplest of the hypothesis tests.
c) a non-parametric test.
d) used only with data that is composed of negative
numbers.
Chapter 7
2. If Laura received a z score of 1 for her performance on a
standardized math test, approximately what percentage
of scores is below her score?
a)
b)
c)
d)
34.13%
-34.13%
84.13%
-84.13%
Chapter 7
(Answer)
2. If Laura received a z score of 1 for her performance on a
standardized math test, approximately what percentage
of scores is below her score?
a)
b)
c)
d)
34.13%
-34.13%
84.13%
-84.13%
Chapter 7
3. From the example above, what percentage of scores
are between Laura’s z score and the mean?
a)
b)
c)
d)
34.13%
-34.13%
-84.13%
84.13%
Chapter 7
(Answer)
3. From the example above, what percentage of scores
are between Laura’s z score and the mean?
a)
b)
c)
d)
34.13%
-34.13%
-84.13%
84.13%
Chapter 7
4. A z score has a known mean and standard deviation. What
are they?
a) Mean = 50, SD=2.0
b) Mean = 0, SD=3
c) Mean = 50, SD= 1
d) Mean = 0, SD = 1
Chapter 7
(Answer)
4. A z score has a known mean and standard deviation. What
are they?
a) Mean = 50, SD=2.0
b) Mean = 0, SD=3
c) Mean = 50, SD= 1
d) Mean = 0, SD = 1
Chapter 7
5. Roberta scored in the 85th percentile on a standardized
test of reading ability. What is Roberta’s associated z
score?
a) -1.04
b) 2.3
c) 3.1
d) 1.04
Chapter 7
(Answer)
5. Roberta scored in the 85th percentile on a standardized
test of reading ability. What is Roberta’s associated z
score?
a) -1.04
b) 2.3
c) 3.1
d) 1.04
Chapter 7
6. If we obtain a z score of 2.5, what is our raw score for a
given population mean of 800 and a standard deviation of
100?
a) 1000
b) 1600
c) 900
d) 1050
Chapter 7
(Answer)
6. If we obtain a z score of 2.5, what is our raw score for a
given population mean of 800 and a standard deviation of
100?
a) 1000
b) 1600
c) 900
d) 1050
Chapter 7
7. The figure below demonstrates the concept of converting a given
percentile to a raw score for a student who scored in the 63rd
percentile. Thirteen percent corresponds to the associated
percentage that results from subtracting the area below the mean
from the 63rd percentile. What is the associated z score?
a) 50
b) 0.33
c) 13
d) 87
Chapter 7
(Answer)
7. The figure below demonstrates the concept of converting a given
percentile to a raw score for a student who scored in the 63rd
percentile. Thirteen percent corresponds to the associated
percentage that results from subtracting the area below the mean
from the 63rd percentile. What is the associated z score?
a) 50
b) 0.33
c) 13
d) 87
Chapter 7
8. What are the three assumptions for hypothesis testing?
a) independent variable is measured on an interval
scale, participants are based on a convenience sample,
and the population distribution is approximately normal
b) extraneous variables are controlled for, random
selection, and random assignment
c) dependent variable is measured on an interval or ratio
scale, participants are randomly selected, and population
distribution is approximately normal
d) variables are all continuous, variables are measured
on a ration scale of measurement, and participants are
randomly selected
Chapter 7
(Answer)
8. What are the three assumptions for hypothesis testing?
a) independent variable is measured on an interval
scale, participants are based on a convenience sample,
and the population distribution is approximately normal
b) extraneous variables are controlled for, random
selection, and random assignment
c) dependent variable is measured on an interval or
ratio scale, participants are randomly selected, and
population distribution is approximately normal
d) variables are all continuous, variables are measured
on a ration scale of measurement, and participants are
randomly selected
Chapter 7
9. _______________ are inferential statistical analyses
based on a set of assumptions about the population.
a) Standardized tests
b) Non-standardized tests
c) Parametric tests
d) Nonparametric tests
Chapter 7
(Answer)
9. _______________ are inferential statistical analyses
based on a set of assumptions about the population.
a) Standardized tests
b) Non-standardized tests
c) Parametric tests
d) Nonparametric tests
Chapter 7
10. All of the following are among the six steps of
hypothesis testing EXCEPT:
a) identifying the populations, comparison distribution,
and assumptions.
b) determining the characteristics of the comparison
distribution.
c) determining critical values, or cutoffs.
d) randomly selecting participants from the population.
Chapter 7
(Answer)
10. All of the following are among the six steps of
hypothesis testing EXCEPT:
a) identifying the populations, comparison distribution, and
assumptions.
b) determining the characteristics of the comparison
distribution.
c) determining critical values, or cutoffs.
d) randomly selecting participants from the population.
Chapter 7
11. When researchers say that a result is statistically
significant they mean:
a) the data differ from what we would expect by
chance if there were, in fact, no actual difference.
b) the finding must be important and meaningful.
c) the result is huge.
d) the result is important and meaningful to them, but
necessarily to other researchers.
Chapter 7
(Answer)
11. When researchers say that a result is statistically
significant they mean:
a) the data differ from what we would expect by
chance if there were, in fact, no actual difference.
b) the finding must be important and meaningful.
c) the result is huge.
d) the result is important and meaningful to them, but
necessarily to other researchers.
Chapter 7
12. A researcher hypothesizes that there is a significant
relationship between stress and fatigue. Specifically, he
hypothesizes that, as stress increases, fatigue levels will
also increase. This example best illustrates what type of
hypothesis test?
a) null hypothesis test
b) one-tailed test
c) two-tailed test
d) non-directional test
Chapter 7
(Answer)
12. A researcher hypothesizes that there is a significant
relationship between stress and fatigue. Specifically, he
hypothesizes that, as stress increases, fatigue levels will
also increase. This example best illustrates what type of
hypothesis test?
a) null hypothesis test
b) one-tailed test
c) two-tailed test
d) non-directional test
Chapter 7
13. A researcher hypothesizes that there is a significant
relationship between stress and fatigue. Specifically, he
hypothesizes that, as stress increases, fatigue levels will
change. This example best illustrates what type of
hypothesis test?
a) null hypothesis
b) one-tailed test
c) two-tailed test
d) uni-directional test
Chapter 7
(Answer)
13. A researcher hypothesizes that there is a significant
relationship between stress and fatigue. Specifically, he
hypothesizes that, as stress increases, fatigue levels will
change. This example best illustrates what type of
hypothesis test?
a) null hypothesis
b) one-tailed test
c) two-tailed test
d) uni-directional test
Chapter 7
14. All of the following are ways that researchers clean up
dirty data EXCEPT:
a) assign the mode or the men for that variable based
on the other participants’ results.
b) assign the mode or the mean from the participant’s
own responses if there are similar items in the
database.
c) assign a random number that is within the range of
possible numbers for that data set.
d) assign a random number that is outside the range
of numbers for the data set so it won’t be confused
with the real data.
Chapter 7
(Answer)
14. All of the following are ways that researchers clean up
dirty data EXCEPT:
a) assign the mode or the men for that variable based
on the other participants’ results.
b) assign the mode or the mean from the participant’s
own responses if there are similar items in the
database.
c) assign a random number that is within the range of
possible numbers for that data set.
d) assign a random number that is outside the
range of numbers for the data set so it won’t be
confused with the real data.