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Reading 7: Statistical Concepts and Market Returns-LOS h习题

Session 2: Quantitative Methods: Basic Concepts
Reading 7: Statistical Concepts and Market Returns

LOS h: Calculate and interpret the proportion of observations falling within a specified number of standard deviations of the mean using Chebyshev's inequality.

 

 

 

Assume a sample of beer prices is negatively skewed. Approximately what percentage of the distribution lies within plus or minus 2.40 standard deviations of the mean?

A)
82.6%.
B)
95.5%.
C)
58.3%.

xx

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c

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In a skewed distribution, what is the minimum amount of observations that will fall between +/- 1.5 standard deviations from the mean?

A)
44%.
B)
95%.
C)
56%.



Because the distribution is skewed, we must use Chebyshev’s Inequality, which states that the proportion of observations within k standard deviations of the mean is at least 1 – (1 / k2).

1 – (1 / 1.52) = 0.5555, or 56%.

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According to Chebyshev’s Inequality, for any distribution, what is the minimum percentage of observations that lie within three standard deviations of the mean?

A)
94%.
B)
75%.
C)
89%.

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According to Chebyshev’s Inequality, for any distribution, what is the minimum percentage of observations that lie within three standard deviations of the mean?

A)
94%.
B)
75%.
C)
89%.



According to Chebyshev’s Inequality, for any distribution, the minimum percentage of observations that lie within k standard deviations of the distribution mean is equal to: 1 – (1 / k2). If k = 3, then the percentage of distributions is equal to 1 – (1 / 9) = 89%.

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In a skewed distribution, what is the minimum proportion of observations between +/- two standard deviations from the mean?

A)

95%.

B)

75%.

C)

84%.

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In a skewed distribution, what is the minimum proportion of observations between +/- two standard deviations from the mean?

A)

95%.

B)

75%.

C)

84%.




For any distribution we can use Chebyshev’s Inequality, which states that the proportion of observations within k standard deviations of the mean is at least 1 – (1 / k2).

1 – (1 / 22) = 0.75, or 75%.

Note that for a normal distribution, 95% of observations will fall between +/- 2 standard deviations of the mean.

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Regardless of the shape of a distribution, according to Chebyshev’s Inequality, what is the minimum percentage of observations that will lie within +/– two standard deviations of the mean?

A)
75%.
B)
68%.
C)
89%.

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Regardless of the shape of a distribution, according to Chebyshev’s Inequality, what is the minimum percentage of observations that will lie within +/– two standard deviations of the mean?

A)
75%.
B)
68%.
C)
89%.



According to Chebyshev’s Inequality, for any distribution, the minimum percentage of observations that lie within k standard deviations of the distribution mean is equal to:
1 – (1 / k2), with k equal to the number of standard deviations. If k = 2, then the percentage of distributions is equal to 1 – (1 / 4) = 75%.

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