Chapter 2 ~ Describing Location in a Distrubtion Flashcards

1
Q

Z-score

A

Compares individual data points to the mean of the set of data by measuring how far these points lie from the mean (using standard deviations as the unit).
(X – μ)/σ

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2
Q

What is the sample mean of the z-scores?

A

0

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3
Q

What is the sample standard deviation of the z-scores?

A

1

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4
Q

Density curve

A

A curve that always lies on or above the horizontal axis and has an area of exactly 1 underneath it. It approximates the shape of an actual distribution.

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4
Q

Median of a density curve

A

Divides the area under the curve in half. Never directly at the peak unless the distribution is symmetrical.

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5
Q

Mean of a density curve

A

The point at which the curve would balance if it was made of solid material. Pulled towards the tail if the distribution is skewed.

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6
Q

Normal curve

A

Most commonly used family of density curves.
Symmetric, bell shaped, unimodal.
Mean and standard deviation determine the centre and spread of the curve.

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7
Q

Empirical Rule

A

a.k.a. The 68–95–99.7 Rule
In a normal distribution with mean μ and standard deviation σ,
68% of the observations fall within 1σ of μ
95% of the observations fall within 2σ of μ
99.7% of the observations fall within 3σ of μ

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8
Q

Standard Normal Distribution

A

A normal distribution with mean 0 and standard deviation 1

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9
Q

What is the symbol notation for expressing normal distributions?

A

N(μ, σ)

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10
Q

The area under a normal curve between two given values is the same as _________________________.

A

The area us we the standard normal curve between their z-scores

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