Exam II
126 points total.
- (5 points) Define "random variable"
Answer: A variable that assumes a numerical value associated
with the outcome of an experiment.
- (5 points) The sample median is more robust than the sample mean.
What does this mean?
Answer: When a few observations in a dataset are changed the
mean will change more than the median.
- (6 points) As part of a psychology experiment a child's
temperament was rated on a scale of 1 to 5 with 1 being easy going
and 5 being very hard to please. This rating is:
Answer: qualitative and ordinal
- (10 points) Which of the following are valid probabilities:
- 0.5
- 0
- 100
- -0.5
- 1.38
Answer: a) and b)
- Use the following table to answer these questions:
x | 10 15 20 25
-----------------------------------
p(x) | 0.25 0.50 0.15 0.10
- (5 points) Is this a valid discrete probability distribution? Why
or why not?
Answer: Yes because the probabilities add to one and all
probabilities are between 0 and 1.
- (5 points) What is P(X
25)?
Answer: 1
- Use the following data for these questions:
4, 5, 8, 7
- (5 points) Find the sample mean
Answer: 6
- (10 points) Find the sample variance and standard deviation
Answer: 10/3 and 1.83
- (5 points) Find the median
Answer: 6
- Hundreds of diodes (an electrical device) manufactured at a
certain plant were tested to see how long they would work. Hours before
failure was recorded for each diode. This data was strongly right
skewed.
- (5 points) Is the mean of this dataset larger or smaller than the
median? (Or do you not have enough information to determine this?)
Answer: the mean is larger since the distribution is
right skewed
- (5 points) Sketch a histogram that demonstrates what the term
"right skewed" means.
- (5 points) The interquartile range of this data was (12.5, 75.25).
What percent of the data fell within this range?
Answer: 50%, that is part of the definition of the
inter-quartile range
- Use the standard normal table to find the following probabilities
(remember to draw the pictures):
- (5 points) P(Z = 1.5)
Answer: 0
- (5 points) P(Z > 1.5)
Answer: 0.0668
- (5 points) P(-1.5 < Z < -1)
Answer: 0.1587 - 0.0668 = 0.0919
- (5 points) P(5 < X < 15) when
= 10 and
= 25.
Answer:
P(5 < X < 15) =
P[(5 - 10)/5 < Z < (15 - 10)/5) =
P(-1 < Z < 1) =
1 - 2*0.1587 =
0.6826
- Use the binomial tables to find the following probabilities
- (5
points) P(X = 2 | n = 5, p = 0.8)
Answer: 0.051
- (5 points) P(X < 2 | n = 5, p = 0.8)
Answer: 0.007
- (5 points) P(X
2 | n = 5, p = 0.8)
Answer: 0.058
- (5 points) P(0.4 <
< 0.8 | n = 5, p = 0.8)
Answer:
P(0.4 < < 0.8 | n = 5, p = 0.8) =
P(2 < X < 4 | n = 5, p = 0.8) =
0.205
- Use the following relative frequency histogram to answer these
questions.

- (5 points) What percent of the data had a death rate below 10?
Answer: 0.05 + 0.25 = 0.30
- (5 points) What percent of the data had a death rate between 15
and 20?
Answer: 0.20
- (5 points) What measurement class did most of the data belong to?
Answer: 10 - 15
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