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Test Bank 2
Multiple Choice
30
Other
11/01/2011

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Term
A jar contains 10 red marbles and 30 blue marbles. What is the probability of randomly selecting a red marble
from the jar?
Definition
b. 10/40
Term
A jar contains 10 red marbles and 30 blue marbles. A random sample of n = 3 marbles is selected from the jar.
If the first two marbles are both blue, what is the probability that the third marble will be red?
Definition
c. 10/40
Term
In an introductory psychology class with n = 50 students, there are 9 freshman males, 15 freshman females, 8
sophomore males, 12 sophomore females, and 6 junior females. If one student is randomly selected from this
class, what is the probability of getting a sophomore?
Definition
d. 20/50
Term
In an introductory psychology class with n = 50 students, there are 9 freshman males, 15 freshman females, 8
sophomore males, 12 sophomore females and 6 junior females. A random sample of n = 2 students is selected
from the class. If the first student in the sample is a male, what is the probability that the second student will
also be a male?
Definition
d. 17/50
Term
What proportion of a normal distribution is located in the tail beyond z = 2.00?
Definition
b. 0.0228
Term
What proportion of a normal distribution is located in the tail beyond z = -1.00?
Definition
b. 0.1587
Term
What proportion of a normal distribution is located between the mean and z = -0.40?
Definition
c. 0.1554
Term
A vertical line is drawn through a normal distribution at z = 0.80. What proportion of the distribution is on the
right-hand side of the line?
Definition
b. 0.2119
Term
A vertical line is drawn through a normal distribution at z = 1.20. What proportion of the distribution is on the
left-hand side of the line?
Definition
a. 0.8849
Term
10. What proportion of a normal distribution is located between z = -0.25 and z = +0.25?
Definition
d. 0.1974
Term
What proportion of a normal distribution is located between z = 1.00 and z = 1.50?
Definition
a. 0.0919
Term
What is the probability of randomly selecting a z-score greater than z = 0.75 from a normal distribution?
Definition
b. 0.2266
Term
What is the probability of randomly selecting a z-score less than z = 1.25 from a normal distribution?
Definition
a. 0.8944
Term
What z-score value separates the top 70% of a normal distribution from the bottom
30%?
Definition
c. z = -0.52
Term
A normal distribution has a mean of m = 40 with s = 10. What proportion of the scores in this distribution are
greater than X = 55?
Definition
c. 0.0668
Term
A normal distribution has a mean of m = 40 with s = 10. What proportion of the scores in this distribution are
smaller than X = 35?
Definition
a. 0.3085
Term
A normal distribution has a mean of m = 80 with s = 20. What score separates the highest 15% of the
distribution from the rest of the scores?
Definition
b. X = 100.8
Term
A normal distribution has a mean of m = 80 with s = 20. What score separates the highest 40% of the
distribution from the rest of the scores?
Definition
b. X = 85
Term
A normal distribution has a mean of m = 24 with s = 3. What is the minimum score needed to be in the top 14%
of the distribution?
Definition
b. X = 27.24
Term
John drives to work each morning and the trip takes an average of m = 38 minutes. The distribution of driving
times is approximately normal with a standard deviation of s = 5 minutes. For a randomly selected morning,
what is the probability that John's drive to work will take less than 35 minutes?
Definition
d. 0.2743
Term
John drives to work each morning and the trip takes an average of m = 38 minutes. The distribution of driving
times is approximately normal with a standard deviation of s = 5 minutes. For a randomly selected morning,
what is the probability that John's drive to work will take between 36 and 40 minutes?
Definition
d. 0.3108
Term
What term is used to identify the mean of the distribution of sample means?
Definition
a. the expected value of M
Term
What term is used to identify the standard deviation of the distribution of sample means?
Definition
b. the standard error of M
Term
A sample of n = 25 scores is selected from a population with m = 100 with s = 20. On average, how much error
would be expected between the sample mean and the population mean?
Definition
c. 4 points
Term
What symbol is used to identify the standard error of M?
Definition
a. sM
Term
Under what circumstances will the distribution of sample means be normal?
Definition
d. If the population is normal or if the sample size is greater than 30.
Term
A random sample of n = 4 scores is selected from a population. Which of the following distributions definitely
will be normal?
Definition
d. Neither the sample, the population, nor the distribution of sample means will definitely
be normal.
Term
A random sample of n = 36 scores is selected from a population. Which of the following distributions
definitely will be normal?
Definition
c. The distribution of sample means will form a normal distribution.
Term
Samples of size n = 4 are selected from a population with m = 80 with s = 8. What is the standard error for the
distribution of sample means?
Definition
c. 4
Term
If random samples, each with n = 9 scores, are selected from a normal population with m = 80 and s = 36, then
what is the expected value for the distribution of sample means?
Definition
d. 80