Numerical Descriptive Measures Flashcards

1
Q

When is the mean usually greater than the median?

A

When there is a negative skewe

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2
Q

What is another name for the 50th percentile?

A

The median

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3
Q

What can you tell about the rest of the variables if yours is the 75th percentile?

A

That 75% of the other variables are lower than yours and the 25% of the other variables are higher than yours 

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4
Q

What is the five number summary of a date set

A

Is the smallest variable, the largest variable in the quartiles in between

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5
Q

What is the range of human age?

A

125-0=125

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6
Q

Why is range not a good measure of dispersion?

A

Because it only measures extremes

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7
Q

What is the difference between mad and the variance?

A

Measure of absolute deviation takes the absolute off the value minus the average while the variance is the same but squared instead of for the absolute value. Also, variance subtracts one when dividing the sum

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8
Q

What is the coefficient of variation?

A

It is the standard deviation divided by the mean, and its gives a ratio of how much variables vary

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9
Q

What is mean variance analysis?

A

The mean of an assets is its reward, and the variance is the risk associated

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10
Q

What does a high sharp ratio tell us about an asset?

A

But it’s either low risk or high reward compared to a risk-free asset

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11
Q

What is excess return?

A

The rewards investors get for the risk they take. This is the result of the sharp ratio

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12
Q

What does chebyshevs theorem show us?

A

The minimum amount of observations that falls within K standard deviations

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13
Q

Does chebyshevs theorem rely on the shape of the distribution

A

Apparently not, it can be asymmetrical or anything… no there must be a misunderstanding if there are two chunks way apart

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14
Q

What does the Z score measure?

A

The distance of an observation from the mean, in terms of standard deviations

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15
Q

When might covariance yield inaccurate results?

A

When the relationship between the two variables or is nonlinear

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16
Q

What mesures both the direction the strength of the relationship between two variables?

A

CoRelation coefficient