Lecture 4 Flashcards

1
Q

How to establish intervals?

A

(max(value) - min (value)) / number of classes

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2
Q

Location

A

Tells us something about the average or typical individual (i.e. where the observations are centered)

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3
Q

Spread

A

Tells us how variable the measurements are from individual to individual - how widely scattered the observations are around the center

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4
Q

Arithmetic mean

A

An algorithm, process or sets of rules to be followed in calculations - sum of all the observations in a sample divided by n, the number of observations

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5
Q

Population mean

A

Mean of all possible samples from a population

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6
Q

Standard deviation

A

Commonly used measure of the spread of a distribution. It measures how far from the mean the observations typically are. The standard deviation is large if most observations are far from the mean, and it is small if most measurements lie close to the mean.

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7
Q

Median

A

Middle measures of a set of observations (distributions)

  • Odd number of observations: Median is the middle value
  • Even number of observations: Median calculated = [Y(n/2) + Y(n/2+1)]/2
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8
Q

Symmetric distributions [Mean - Median]

A
  • Uniform: Mean equals the median

- Bell-shaped: Mean equals the median

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9
Q

Bimodal [Mean - Median]

A

Median smaller than the mean

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10
Q

Skewed-left [Mean - Median]

A

Mean smaller than median

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11
Q

Skewed-right [Mean - Median]

A

Mean greater than the median

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