MIDTERM EXAM PRACTICE QUESTIONS
Chapters 912.4
STA 215 Lamps
You might view this as a chance to view part of the exam in advance.
I hope you find that
useful and use it to learn the material and what might be expected on the exam.
Solutions or
hints to solutions are provided for many of the questions.
Please do not expect me to add
more solutions to this as well.
You will be permitted to bring to the exam a single sheet (81/2 by 11) with any notes you
wish (both sides).
The exam will include a page with
t
* factors.
SHOW ALL WORK.
Use an appropriate number of significant digits.
1.
(XX pts)
Select the number of the best match from the right hand column (use each
choice only once).
a.
____
Estimate
±
margin of error
1.
Confidence
interval
b.
____ Interval that probably contains the population parameter
2.
Confidence
interval
c.
____ Shows how accurate we believe our guess is
3.
Margin of
error
d.
____ An observed effect is so large that it would rarely occur by
chance
4.
Statistically
significant
e.
____ The outcome of one trial must not influence the outcome
of any other
5.
Independen
ce
f.
____ As sample size increases, observed mean gets closer to
population mean
6.
Law of
large
numbers
g.
____ Based on sample data, draw conclusions about a
population
7.
Statistical
inference
h.
____ The probability of observing the test statistic or something
more extreme
8.
p
value
2.
DIST  Side 5 of a gambling device has a probability of .06.
A gambler bets on side 5 in 200 consecutive throws.
Describe the sampling distribution of .
What are the data conditions regarding sample size?
Are they met?
What is the probability the gambler will win 7 or fewer of those throws?
Ncdf(9,1.489)
3.
DIST  Side 1 of a binder clip has a probability of .40.
A gambler bets on side 1 in 100 consecutive throws.
Describe the sampling distribution of .
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View Full DocumentWhat are the data conditions regarding sample size?
Are they met?
What is the probability the gambler will win 45 or more of those throws?
Normal, mean .4, s.d. .0490
4.
Based on the 2000 Census, the proportion of the California population aged 15 years
old or older who are married is
p
= .524. For a random sample of
n
= 1000 persons
from this population, what is the mean of the sampling distribution of phat, the
proportion of married people in the sample?
5.
Based on the 2000 Census, the proportion of the California population aged 15 years
old or older who are married is
p
= .524. For a random sample of
n
= 1000 persons
from this population, what is the standard deviation of the sampling distribution of p
hat, the proportion of married people in the sample?
6.
___
3
__
A statistic
1.
n
___
2
__
A parameter
2.
p
___
13
__
Mean of the sampling distribution of
p
3.
___
13
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 Fall '08
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