36 all answered SPSS questions ...

Task: Make a scatterdiagram, where "time of day" is the independent variable
and "temperature" is the dependent variable. The lowest temperatur occurs
at a time that is closest to
2 p.m.
8 a.m.
8 p.m.
5 a.m.
2 a.m.
5 p.m.
11 p.m.
11 a.m.
Question to answer: At what time of the day is the body temperature highest? When is it lowest? How much difference is
there? Are body temperatures between midnight and noon significantly different than body temperatures between noon and
midnight?
Task: Make a scatterdiagram, where "time of day" is the independent variable
and "temperature" is the dependent variable. The highest temperature occurs
at a time that is closest to
12:30 p.m.
3:30 a.m.
9:30 p.m.
3:30 p.m.
6:30 a.m.
12:30 a.m.
9:30 a.m.
6:30 p.m.
QUESTION 2 3 points Save Answer
Question to answer: At what time of the day is the body temperature highest? When is it lowest? How much difference is
there? Are body temperatures between midnight and noon significantly different than body temperatures between noon and
midnight?
Task: How many degrees Fahrenheit is the range of the temperature variable?
QUESTION 3 3 points Save Answer
Question to answer: At what time of the day is the body temperature highest? When is it lowest? How much difference is
there? Are body temperatures between midnight and noon significantly different than body temperatures between noon and
midnight?
Task: Make a boxplot that compares the a.m. temperatures to the p.m.
temperatures. According to the comparative boxplots, which median is higher?
a.m.
QUESTION 4 3 points Save Answer
they are equal
p.m.
can't tell
Question to answer: At what time of the day is the body temperature highest? When is it lowest? How much difference is
there? Are body temperatures between midnight and noon significantly different than body temperatures between noon and
midnight?
Task: Of all the a.m. temperatures, the mean is , and of
all the p.m. temperatures the mean is . (Hint: Use the
"Analyze - Compare Means - Independent-Samples T Test" option.)
QUESTION 5 4 points Save Answer
Question to answer: At what time of the day is the body temperature highest? When is it lowest? How much difference is
there? Are body temperatures between midnight and noon significantly different than body temperatures between noon and
midnight?
Task: To test whether body temperatures between midnight and noon differ
significantly from temperatures between noon and midnight, which hypothesis
test is appropriate?
two-sample independent t-test
two-sample paired t-test
one-sample t test
z-test
chi-squared test
QUESTION 6 4 points Save Answer
Question to answer: At what time of the day is the body temperature highest? When is it lowest? How much difference is
there? Are body temperatures between midnight and noon significantly different than body temperatures between noon and
midnight?
Task: Let ?1 = mean a.m. temperature, and let ?2 = mean p.m. temperature.
Fill in the following information for the hypothesis test
H0 : ?1 = ?2 vs. H1 : ?1 ? ?2.
The test statistic equals (-8.959, -.4492, -2.54, -3, 0)
The p-value is closest to what whole number? (0,.0501,.0509,.044)
At a 5% significance level, we should conclude (a,b,c,d)
a: the mean a.m. temperature is significantly different than the mean p.m. temperature
b: the mean a.m. temperature is not significantly different than the mean p.m.
temperature
c: the mean a.m. temperature is significantly less than the mean p.m. temperature
d: the mean a.m. temperature is not significantly less than the mean p.m.
temperature
QUESTION 7 10 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Make a scatterdiagram, where "time of day" is the independent variable
and "sheep" is the dependent variable. The best reaction time occurs at a
time that is closest to
8 p.m.
8 a.m.
2 a.m.
5 p.m.
11 a.m.
5 a.m.
11 p.m.
2 p.m.
QUESTION 8 2 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Make a scatterdiagram, where "time of day" is the independent variable
and "sheep" is the dependent variable. The worst reaction time occurs at a
time that is closest to
7 p.m.
10 p.m.
1 a.m.
10 a.m.
4 a.m.
1 p.m.
7 a.m.
4 p.m.
QUESTION 9 2 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Make a scatterdiagram, where "time of day" is the independent variable
and "baseball" is the dependent variable. The best reaction time occurs at a
time that is closest to
11 p.m.
5 a.m.
2 a.m.
11 a.m.
8 p.m.
QUESTION 10 2 points Save Answer
5 p.m.
8 a.m.
2 p.m.
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Make a scatterdiagram, where "time of day" is the independent variable
and "baseball" is the dependent variable. The worst reaction time occurs at a
time that is closest to
8 a.m.
8 p.m.
2 a.m.
5 p.m.
2 p.m.
11 a.m.
11 p.m.
5 a.m.
QUESTION 11 2 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: What is an appropriate summary of how the two reaction time tests
compare with respect to the best and worst reaction times?
Both tests conclude that reaction time is worst in the early morning, but they disagree about
when reaction time is best.
The two tests do not agree on when reaction time is best and worst.
Both tests conclude that reaction time peaks in the late afternoon and is worst in the early
morning.
Both tests conclude that reaction time peaks in the late afternoon, but they disagree about
when reaction time is worst.
QUESTION 12 2 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Regarding "how much difference is there", fill in the following blanks
about the range and IQR of the sheep and baseball data sets.
Write the letter that corresponds to the closest answer.
a: 2.4 seconds
b: 0.6 seconds
c: 0.06 seconds
QUESTION 13 4 points Save Answer
d: 0.24 seconds
range IQR
sheep
baseball
Which of the following cautions is appropriate?
a: Because the sheep data set has an "early penalty", this data
set contains significant outliers. Therefore we should measure
variation using range instead of IQR.
b: Because the sheep data set has an "early penalty", this data set
contains significant outliers. Therefore we should measure variation using
IQR instead of range.
c: Because the sheep data set has an "early penalty", this data
set contains significant outliers. Therefore neither the IQR nor the
range are appropriate measures of variation.
d: Both the IQR and the range are appropriate measures of variation in
this context.
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Make a comparative histogram of the sheep data, that compares the
a.m. and p.m. reaction times. Which is the best summary?
The distributions of both the a.m. and p.m. sheep reaction times are skewed right with upper
outliers.
The distributions of both the a.m. and p.m. sheep reaction times are skewed left with upper
outliers.
The centers of the a.m. and p.m. sheep reaction time distributions are drastically different.
The distributions of both the a.m. and p.m. sheep reaction times are approximately symmetric.
QUESTION 14 3 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Suppose we want to study ?1 ? ?2 where ?1 is the mean a.m. baseball reaction
time and ?2 is the mean p.m. baseball reaction time. Which SPSS option is most appropriate?
[Analyze - Compare Means - One-Sample T Test]
[Analyze - Compare Means - Means]
[Analyze - Compare Means - Independent-Samples T Test]
[Analyze - Compare Means - Paired-Samples T Test]
QUESTION 15 3 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Make a 95% confidence interval for ?1 ? ?2 where ?1 is the mean
a.m. baseball reaction time and ?2 is the mean p.m. baseball reaction time. Which is the best
conclusion?
With 95% confidence, there is no significant difference between the mean a.m. baseball
reaction time and the mean p.m. baseball reaction time.
We are 95% confident that the mean a.m. baseball reaction time is between .02 seconds and
.03 seconds faster than the mean p.m. baseball reaction time.
Since 0 is not in the confidence interval, we cannot compare the mean a.m. and mean p.m.
baseball reaction times with 95% confidence.
We are 95% confident that the mean p.m. baseball reaction time is between .02 seconds and
.03 seconds faster than the mean a.m. baseball reaction time.
QUESTION 16 3 points Save Answer
Question to answer: At what time of the day does reaction time peak? When is it the worst? How much
difference is there? Are reaction times between midnight and noon significantly different than reaction times
between noon and midnight?
Task: Let ?1 = the mean a.m. baseball reaction time and let ?2 is the
mean p.m. baseball reaction time. Fill in the following information for the
hypothesis test
H0 : ?1 = ?2 vs. H1 : ?1 ? ?2.
The type of test statistic appropriate is (t, z, F, or c where c stands
for ?2)
The value of the test statistic is (0, 26.439, 7.147, .02502)
The p-value is closest to what number? (0,.02502,.0035,.01815,
.03190)
At a 5% significance level, we should conclude (a,b,c,d)
a: the mean a.m. baseball reaction time is significantly different than the mean p.m.
baseball reaction time
b: the mean a.m. baseball reaction time is not significantly different than the mean
p.m. baseball reaction time
c: the mean a.m. baseball reaction time is significantly less than the mean p.m.
baseball reaction time
d: the mean a.m. baseball reaction time is significantly greater than the mean p.m.
baseball reaction time
QUESTION 17 7 points Save Answer
Question to answer: Is there a strong relationship between the reaction time measurements from the “Sheep
Tranquilizer Game” and the “Hit the Baseball Test”?
QUESTION 18 5 points Save Answer
Task: Compute the medians and IQRs of the Sheep and Baseball data. If
"center" is measured by median and "variation" is measured by "IQR", which
answer is best?
The sheep distribution is centered higher, and has slightly more variation.
The sheep distribution is centered higher, but has slightly less variation.
The sheep distribution is centered lower, but has slightly more variation.
The sheep distribution is centered lower, and has slightly less variation.
Question to answer: Is there a strong relationship between the reaction time measurements from the “Sheep
Tranquilizer Game” and the “Hit the Baseball Test”?
Task: Make a scatterplot whose independent variable is "baseball_not_high"
and whose dependent variable is "sheep_not_high". (We are not using the
original baseball and sheep variables because we don't want to analyze the
extremely high values due to the sheep penalty that is part of that reaction time
test.)
Include the least-squares line with the scatterplot. The correlation coefficient is
closest to
.1
.69
.62
.38
.14
QUESTION 19 5 points Save Answer
Question to answer: Is there a strong relationship between the reaction time measurements from the
“Sheep Tranquilizer Game” and the “Hit the Baseball Test”?
Task: Make a scatterplot whose independent variable is
"baseball_not_high" and whose dependent variable is
"sheep_not_high". (We are not using the original baseball and sheep
variables because we don't want to analyze the extremely high values
due to the sheep penalty that is part of that reaction time test.)
Include the least-squares line with the scatterplot.
Which of the following conclusions is appropriate?
At a certain time, if someone has a sheep reaction time of .3 seconds, we predict that their
baseball reaction time would be .307 seconds.
At a certain time, if someone has a baseball reaction time of .997 seconds, we predict that
their sheep reaction time would be 1.3 seconds.
At a certain time, if someone has a sheep reaction time of 1.3 seconds, we predict that their
baseball reaction time would be .997 seconds.
At a certain time, if someone has a baseball reaction time of .3 seconds, we predict that their
sheep reaction time would be .307 seconds.
QUESTION 20 5 points Save Answer
Question to answer: Is there a strong relationship between the reaction time measurements from the “Sheep
Tranquilizer Game” and the “Hit the Baseball Test”?
Task: Make a scatterplot whose independent variable is "baseball_not_high"
and whose dependent variable is "sheep_not_high". (We are not using the
original baseball and sheep variables because we don't want to analyze the
extremely high values due to the sheep penalty that is part of that reaction time
test.)
Include the least-squares line with the scatterplot. Which of the following is
an interpretation of the slope of the least-squares line?
If the baseball time increases by .1 seconds, we predict the sheep time will increase by .069
seconds.
If the baseball time increases by .1 seconds, we predict the sheep time will increase by 1
second.
If the sheep time increases by .1 seconds, we predict the baseball time will increase by .069
seconds.
If the sheep time increases by .1 seconds, we predict the baseball time will increase by 1
second.
QUESTION 21 5 points Save Answer
Question to answer: Is there a strong relationship between the reaction time measurements from the “Sheep
Tranquilizer Game” and the “Hit the Baseball Test”?
Task: Make comparative boxplots for the "sheep_not_high" and
"baseball_not_high" variables. Double click on the graph and select [Options -
Show Gridlines - Both major and minor ticks ]
Which of the following statements can you use the boxplots to conclude?
(Select all correct answers.)
More sheep data takes longer than .25 seconds than baseball data.
The sheep median is slower than the baseball median.
More than 75% of the baseball data is quicker than .3 seconds.
Approximately 25% of the sheep data is slower than .3 seconds.
More sheep data takes longer than .2 seconds than baseball data.
Disregarding outliers, all sheep and baseball data is between .2 and .4 seconds.
QUESTION 22 10 points Save Answer
Question to answer: On average, is the human body temperate 98.6 degrees Fahrenheit?
Task: Make a dotplot of the temperature data. Which statement is true?
The temperature distribution is uniform.
The temperature distribution is symmetric.
The temperature distribution is skewed left.
The temperature distribution is skewed right.
QUESTION 23 4 points Save Answer
QUESTION 24
Question to answer: On average, is the human body temperate 98.6 degrees Fahrenheit?
Task: Which of the following measures of center of the temperature data are
less than 98.6? Select all correct answers.
All three measures of center (mean, median, mode) are at least 98.6.
mean
mode
median
QUESTION 24 4 points Save Answer
Question to answer: On average, is the human body temperate 98.6 degrees Fahrenheit?
Task: Make a boxplot of the temperature data. (Add gridlines to the
boxplot.) Which of the following can be concluded based on this
boxplot? Select all correct answers.
More than 75% of the temperature data is less 98.5 degrees Fahrenheit.
The temperature data has both upper and lower outliers.
98% of the temperatures are less than 99.5 degrees Fahrenheit.
More temperatures are less than 98 degrees Fahrenheit than greater than 98 degrees
Fahrenheit
QUESTION 25 4 points Save Answer
Question to answer: On average, is the human body temperature 98.6 degrees Fahrenheit?
Task: Let ? = the mean temperature. Which SPSS option is most appropriate for the
hypothesis test
H0 : ? = 98.6 vs. H1 : ? ? 98.6 ?
[Analyze - Compare Means - One-Way Anova]
[Analyze - Compare Means - One-Sample T Test]
[Analyze - Compare Means - Independent-Samples T Test]
[Analyze - Compare Means - Paired-Samples T Test]
QUESTION 26 4 points Save Answer
Question to answer: On average, is the human body temperature (measured orally) equal to 98.6 degrees
Fahrenheit.
Task: Make a 95% confidence interval for the mean temperature. With this
confidence interval, which of the following conclusions can be made? Select
all answers that apply.
We are 95% confident that the mean oral temperature is between 97.7 and 97.8 degrees
Fahrenheit.
95% of all oral temperatures are between 97.7 and 97.8 degrees Fahrenheit.
QUESTION 27 6 points Save Answer
We are 95% confident that the mean oral temperature is significantly different than 98.6
degrees Fahrenheit.
This confidence interval does not help us know whether or not on average, the mean oral
human body temperature is close to 98.6 degrees Fahrenheit.
Question to answer: On average, is the human body temperature equal to 98.6 degrees Fahrenheit.
Task: Let ? = the mean temperature. Fill in the following information for the
hypothesis test
H0 : ? = 98.6 vs. H1 : ? ? 98.6.
The type of test statistic appropriate is (t, z, F, or c where c stands for ?2)
The value of the test statistic is (0, -32.769, -.8412, .0257, 97.759)
The p-value is closest to what whole number? (0, -32.769, -.8412, .0257, 97.759)
At a 5% significance level, we should conclude (a,b,c,d)
a: The mean oral temperature is not significantly different than 98.6.
b: The mean oral temperature is significantly different than 98.6.
c: The mean oral temperature is significantly less than 98.6.
d: The mean oral temperature is not significantly less than 98.6.
QUESTION 28 8 points Save Answer
Question to answer: Is there a relationship between gender and reaction time?
Task: Make a comparative histogram of the Baseball reaction time data,
separated by gender. Use the comparative histograms to answer f (for
female) or m (for male) in each blank.
Which gender's reaction time distribution has the highest measure of
center?
Which gender's reaction time distribution has the highest
measure of variation?
One of these distributions has a standard deviation of .26
seconds, and one has a standard deviation of .25 seconds.
Which one has a standard deviation of .25 seconds?
A general answer to the question "Is there a relationship between
gender and reaction time?" is that the gender with the slower
reaction times, when measured by the baseball data is
.
QUESTION 29 4 points Save Answer
QUESTION 30
Question to answer: Is there a relationship between gender and reaction time?
Task: To analyze the how the sheep reaction time data compares between the
genders, which type of graphs would make sense to make? Select all possible
answers.
comparative histograms
comparative pie graphs
comparative stem-and-leaf plots
scatterplot
comparative boxplots
QUESTION 30
4 points Save Answer
Question to answer: Is there a relationship between gender and reaction time?
Task: Suppose we want to study ?1 ? ?2 where ?1 is the mean
female baseball reaction time and ?2 is the mean male baseball reaction time. Which SPSS
option is most appropriate?
[Analyze - Compare Means - Means]
[Analyze - Compare Means - Independent-Samples T Test]
[Analyze - Compare Means - One-Sample T Test]
[Analyze - Compare Means - Paired-Samples T Test]
QUESTION 31 6 points Save Answer
Question to answer: Is there a relationship between gender and reaction time?
Task: Make a 95% confidence interval for ?1 ? ?2 where ?1 is the
mean female baseball reaction time and ?2 is the mean male baseball reaction time. Which
choices is are correct interpretation of the confidence interval?
Select all correct answers.
Since 0 is not contained in the 95% confidence interval, we can conclude (at a 5%
significance level) that the mean female and mean male baseball reaction times are not
significantly different.
Since 0 is contained in the 95% confidence interval, we can conclude (at a 5% significance
level) that the mean female and mean male baseball reaction times are not significantly
different.
Since 0 is not contained in the 95% confidence interval, we can conclude (at a 5%
significance level) that the mean female and mean male baseball reaction times are
significantly different.
We are 95% confident that females are between .02 seconds and .04 seconds faster than
males on the baseball reaction time test.
We are 95% confident that females are between .004 seconds and .02 seconds slower than
males on the baseball reaction time test.
We are 95% confident that females are between .004 seconds and .02 seconds faster than
males on the baseball reaction time test.
Since 0 is contained in the 95% confidence interval, we can conclude (at a 5% significance
level) that the mean female and mean male baseball reaction times are significantly different.
QUESTION 32 6 points Save Answer
We are 95% confident that females are between .02 seconds and .04 seconds slower than
males on the baseball reaction time test.
Question to answer: Is there a relationship between gender and reaction time?
Task: Let ?1 = the mean female baseball reaction time and let ?2 is the
mean male baseball reaction time. Fill in the following information for the
hypothesis test
H0 : ?1 = ?2 vs. H1 : ?1 ? ?2.
The type of test statistic appropriate is (t, z, F, or c where c stands
for ?2)
The value of the test statistic is (27.139, 0, 3.325, .001, .01083)
The p-value is closest to what number? (27.139, 0, 3.325, .001,
.01083)
At a 5% significance level, we should conclude (a,b,c,d)
a: the mean female baseball reaction time is significantly greater than the
mean male basseball reaction time
b: the mean female baseball reaction time is not significantly different than the
mean male basseball reaction time
c: the mean female baseball reaction time is significantly less than the
mean male baseball reaction time
d: the mean female baseball reaction time is significantly different than the mean
male baseball reaction time
QUESTION 33 10 points Save Answer
Question to answer: Are the variables ``age” and “reaction time” independent?
Task: You have already created an "old_medium_young" variable.
Conduct a hypothesis test whose null hypothesis is
H0 : ?old = ?medium =?young ,
where ?old, ?medium, ?young are the mean baseball reaction times for the old, medium, and
young age groups, respectively.
The type of test statistic appropriate is (t, z, F, or c where c stands
for ?2)
The value of the test statistic is (.002, 0, 2.803, .003, .316, .729)
The p-value is closest to what number? (.002, 0, 2.803, .003,
.316, .729)
At a 5% significance level, we should conclude (a,b,c,d)
a: There is a significant difference between all of the age groups' mean baseball
reaction times.
b: There is no significant difference in the mean baseball reaction times among the
old, medium, and young age groups.
c: There is a significant difference between at least two of the age groups' mean
baseball reaction times.
QUESTION 34 10 points Save Answer
d: This test is inconclusive.
Question to answer: Are the variables ``age” and “reaction time” independent?
Task: You have already created an "baseball_fast_medium_slow"
variable. Conduct a hypothesis test whose null hypothesis is
H0 : ?fast = ?medium =?slow ,
where ?fast, ?medium, ?slow are the mean ages for the fast, medium, and slow baseball
reaction time groups, respectively.
The type of test statistic appropriate is (t, z, F, or c where c stands
for ?2)
The value of the test statistic is (255.246, 2, 252.432, .506, .603,
.443)
The p-value is closest to what number? (255.246, 2, 252.432,
.506, .603, .443)
At a 5% significance level, we should conclude (a,b,c,d)
a: There is a significant difference in the mean ages of the fast, medium and slow
baseball reaction time groups.
b: There is a significant difference in the mean ages of the fast and slow baseball
reaction time groups.
c: There is a significant difference in the mean ages of the fast and medium
baseball reaction time groups.
d: There is no significant difference in the mean ages of the fast, medium and slow
baseball reaction time groups.
Should you conduct an ANOVA post hoc test? (y, n)
QUESTION 35 10 points Save Answer
Question to answer: Are the variables ``age” and “reaction time” independent?
Task: You have already created a "baseball_fast_medium_slow"
variable, and a old_medium_young variable. Conduct a hypothesis
test to determine if this categorical baseball reaction time variable and
this categorical age variable are independent or not.
What is the correct null hypothesis?
a: The baseball_fast_medium_slow variable and the old_medium_young variable
are independent.
b: The baseball_fast_medium_slow variable and the old_medium_young variable
are dependent.
The type of test statistic appropriate is (t, z, F, or c where c stands
for ?2)
How many degrees of freedom are there?
QUESTION 36 10 points Save Answer
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The value of the test statistic is (0, 4, .089, 1, 2.888, 25.667,
25.986)
The p-value is closest to what number? (0, 4, .089, 1, 2.888,
25.667, 25.986)
At a 5% significance level, we should conclude (a,b,c)
a: The baseball_fast_medium_slow variable and the old_medium_young variable
are independent.
b: The baseball_fast_medium_slow variable and the old_medium_young variable
are dependent.
c: This test is inconclusive.