Transcript Quiz Chapter 10 Sampling Distributions

Psychology 302, Quantitative Methods
Francis Marion University
Quiz, Sampling Distributions
1.
According to ______ the larger the sample,
the closer the sample mean is to the population
mean. (p. 251)
A.
B.
C.
D.
E.
Murphy’s law
the law of large numbers
the Hildreth Principle
Simpson’s Paradox
null hypothesis
1.
According to ______ the larger the sample,
the closer the sample mean is to the population
mean. (p. 251)
A.
B.
C.
D.
E.
Murphy’s law
the law of large numbers
the Hildreth Principle
Simpson’s Paradox
null hypothesis
2. A property of the population is called a: (p. 250)
A.
B.
C.
D.
E.
parameter
polarity
pooled estimator
Probability distribution
Correlation
2. A property of the population is called a: (p. 250)
A.
B.
C.
D.
E.
parameter
polarity
pooled estimator
Probability distribution
Correlation
3.
A.
B.
C.
D.
E.
We do inferential statistics because the
____ is unknown. (p. 250)
parameter
polarity
pooled estimator
Probability distribution
skewness
3.
A.
B.
C.
D.
E.
We do inferential statistics because the
____ is unknown. (p. 250)
parameter
polarity
pooled estimator
Probability distribution
skewness
4.
A.
B.
C.
D.
E.
σ
M
PM
μ
Σ
The population mean is represented as:
4.
A.
B.
C.
D.
E.
σ
M
PM
μ
Σ
The population mean is represented as:
5.
A sampling distribution is like a frequency
distribution except that it consists of: (p. 255)
A.
B.
C.
D.
E.
statistics
parameters
means
slopes
ANOVA’s
5.
A sampling distribution is like a frequency
distribution except that it consists of: (p. 255)
A.
B.
C.
D.
E.
statistics
parameters
means
slopes
ANOVA’s
6.
The mean of a sampling distribution is equal
to the mean of the sample and the standard
deviation of the sampling distribution is equal to:
(p. 256)
A. the standard deviation of the sample
B. the square root of the sample
C. the standard deviation of the sample divided by the
square root of n
D. the harmonic mean
E. all of the above
6.
The mean of a sampling distribution is equal
to the mean of the sample and the standard
deviation of the sampling distribution is equal to:
(p. 256)
A. the standard deviation
of the sample
B. the square root of the
sample
C. the standard deviation
of the sample divided
by the square root of n
D. the harmonic mean
E. all of the above
X X / N
7. According to the Central Limit Theorem: (p. 259)
A.
B.
C.
D.
E.
the mean of the sample equals the standard deviation
the standard deviation cannot be calculated
when n is large the sampling distribution is normal
when n is small the sampling distribution is normal
the standard deviation is used to measure the center
7. According to the Central Limit Theorem: (p. 259)
A.
B.
C.
D.
E.
the mean of the sample equals the standard deviation
the standard deviation cannot be calculated
when n is large the sampling distribution is normal
when n is small the sampling distribution is normal
the standard deviation is used to measure the center
8. According to the Central Limit Theorem: (p. 259)
A. the sampling distribution is normal even if the
population is not
B. the sampling distribution can be normal only if the
population is normal
C. the population mean measures the population variance
D. the mean always equals the standard deviation
8. According to the Central Limit Theorem: (p. 259)
A. the sampling distribution is normal even if the
population is not
B. the sampling distribution can be normal only if the
population is normal
C. the population mean measures the population variance
D. the mean always equals the standard deviation
9.
A.
B.
C.
D.
For the sample means, the distribution is
______ the raw score means. (p. 257)
less spread out than
more spread out than
the same as
all of the above
9.
A.
B.
C.
D.
For the sample means, the distribution is
______ the raw score means. (p. 257)
less spread out than
more spread out than
the same as
all of the above
10. Averages are ____ than individual differences.
A.
B.
C.
D.
E.
more variable than
the same as
less variable than
all of the above
none of the above
10. Averages are ____ than individual differences.
A.
B.
C.
D.
E.
more variable than
the same as
less variable than
all of the above
none of the above
Bonus question: The standard deviation of the
sampling distribution is called:
A.
B.
C.
D.
E.
The hypotenuse
The level of significance
The Range
The standard error
The correlation coefficient
Bonus question: The standard deviation of the
sampling distribution is called:
A. The hypotenuse
B. The level of
significance
C. The Range
D. The standard error
E. The correlation
coefficient
X X / N
The End
A. 1-b. 2-a, 3-a, 4-d, 5-a,6-c, 7-c, 8-a, 9-a, 10-c