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REVIEW QUESTIONS FOR EXAM 2
Note: correct answers to multiple
choice questions are underlined
1. True or false: a strong
(statistically significant) correlation proves that a cause and
effect relationship exists.
False: it is
possible for two variables to be correlated without one variable
being the cause of the other.
2. What can be done to counteract land
subsidence over oil and natural gas fields?
a. Remove buildings from the area affected by subsidence.
b. Construct recharge basins to
collect surface water runoff.
c.
Only pump oil wells during the summer when recharge rates are high.
d. Inject water into the
reservoir formation as oil is pumped out.
e. Nothing can be done.
3. One reason some scientists question
the hypothesis that increasing CO2 levels in the
atmosphere are
causing global warming is that:
a. the greenhouse model has not been adequately tested, and there are
other
potential causes of global warming.
b. atmospheric CO2
and air temperature may be coincidentally correlated.
c. this hypothesis is based on anecdotal
evidence.
d. this hypothesis is based on circumstantial
evidence.
e. atmospheric CO2
and air temperature are not correlated.
4. Taku Glacier in Alaska has been
advancing ever since observations of its margin were
made in 1890. An observer concludes that the
earth's climate is cooling. Is this a valid
conclusion? Why or why not?
No:
the behavior of this glacier is not representative of how the majority of
glaciers worldwide are behaving. This
observation falls into the category of
anecdotal evidence; and the
explanation for why Taku Glacier is advancing
though most glaciers are retreating
involves an understanding of how cause
and effect relationships sometimes involve multiple
factors.
5. Why does a threshold
sometimes obscure cause and effect relationships?
A
threshold means that some minimum value or condition is required for
the given relationship to be
apparent. Therefore, until that threshold is
exceeded, it will not be possible to
see that the relationship exists. For
example, the relationship between
slope angle and landslide velocity will
not be apparent until a minimum slope
angle occurs.
6. For what type of data distribution is the
"average" (or mean) value a good measure of
the "norm"?
a. A normal distribution.
b. A skewed distribution.
c. A distribution with high
variance.
d. A uniform distribution.
e. All of the above.
7. If you rolled a die 1000
times, your "average roll" would be close to 3.5. Why is this a
meaningless
average?
a. You could never actually roll a 3.5.
b. The numbers rolled with a
die are not normally distributed.
c. It does not represent the
population of values very well.
d. All of the above are true.
e. None of the above are true.
8. What is the chance of
rolling a six with one die?
a. one in six,
which is a 16.7% chance.
b. one in six divided by six, which is a 2.8%
chance.
c. one minus (1 - 0.166)6, which is a
66.5% chance.
d. one in six multiplied by six, which is a 99.6%
chance.
e. less than one in six.
9. You have just rolled two sixes in a
row. What is the chance of rolling a six with
your third roll?
a. one in six,
which is a 16.7% chance.
b. one in six divided by three, which is a 5.6%
chance.
c. one minus (1 - 0.166)3, which is a
57.8% chance.
d. one in six multiplied by three, which is a
50.0% chance.
e. less than one in six.
10. What is the chance of
rolling at least one six with six die rolled at the same time?
a. one in six,
which is a 16.7% chance.
b. one in six divided by six, which is a 2.8%
chance.
c. one minus (1 - 0.166)6, which is a
66.5% chance.
d. on in six multiplied by six, which is a 99.6%
chance.
e. less than one in six.
11. What makes a process or an event random?
The occurrence of a random process or event
cannot be predicted. We can
only make probability forecasts based on the
recurrence interval.
12. Which geologic process(es) is (are) closest to being truly random?
Floods.
13. When the recurrence interval of a
given event is said to be 100 years:
a. the event occurs, on the average, every 100 years.
b. the event could occur two or even three years in a
row.
c. the time interval between events might never
actually be 100 years.
d. the time intervals between events might cluster
around 100 years or
range from 1 to 500 years.
e. all of the above.
14. The location of initial movement
along a fault during an earthquake is called:
a.
the focus.
b. the epicenter.
c. ground zero.
d. the shock center.
e. the seismogram.
15. The dilatancy that sometimes
precedes earthquakes and causes land surface elevations
to rise along an fault zone:
a. has now been
shown to not occur prior to earthquakes in California.
b. explains why earthquakes often precede
volcanic eruptions.
c. does not occur when rocks within
the fault zone deform as predicted by the
elastic rebound theory .
d. might explain why some animals sense that a
large earthquake is imminent.
e. none of the above.
16. True or false: earthquake lights are
caused by stress release during an earthquake.
False - earthquake lights precede
earthquakes.
17. True or false: a seismic gap is
place along an active fault zone where earthquakes
do not occur.
False - seismic gaps are places where
large earthquakes are likely to occur.
18. True or false: foreshocks and
aftershocks are caused by the same process.
True - both are the result of
strain release along a fault.
19. True or false: fault creep is the
gradual build up of strain that leads to a
large earthquake.
False - fault creep is the continual
release of strain, resulting in small earthquakes
and gradual displacement.
20. True or false: most
earthquakes occur along lithospheric plate boundaries.
True.
21. True or false: large
earthquakes only occur along plate boundaries.
False.
22. True or false: when an earthquake occurs along the San
Andreas Fault, only one,
relatively small segment of the fault actually moves.
True.
23. Why is it easier to forecast
earthquakes along the San Andreas Fault in California
than along the New Madrid Fault in
Missouri?
Because we don't know the recurrence
interval of earthquakes along the New Madrid
Fault, nor do we know the rate at which strain is
building up.
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