3 - Representation Of Data Flashcards

(18 cards)

1
Q

How do you calculate outliers using IQR

A

UQ + k(IQR)

LQ - k(IQR)

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2
Q

What is an outlier

A

An extreme value that lies outside the overall pattern of data

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3
Q

What is an anomaly

A

A data point that should be removed from the data

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4
Q
A
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5
Q

What is cleaning data

A

The process of removing anomalies from the data

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6
Q

How do you calculate outliers using standard deviation

A

_
x ± k (σ)

Typically this would be ±2σ

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7
Q

How are outliers displayed on box plots

A

Any data points that are outliers, are written with a cross

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8
Q

How are box plots drawn

A

Plot the highest and lowest value

Plot the quartiles + median

Add any outliers

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9
Q

What is a cumulative frequency diagram

A

A diagram that can be used to find exact values of quartiles

It requires grouped data

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10
Q

Where is a cumulative frequency diagram plotted

A

At the end of a group

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11
Q

What data does histograms represent

A

Grouped continuous data only

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12
Q

What does the area of a histogram represent

A

The area of a bar in a histogram is equal to k×frequency

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13
Q

What are the axis in a histogram

A

Y = frequency density
X = continuous data

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14
Q

How do you calculate frequency density

A

Frequency density = (k×frequency)/class width

(F.d × c.w = area = k×frequency)

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15
Q

How do you plot a frequency polygon

A

Plot at the midpoint of the group

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16
Q

How do you compare data

A

You must always comment on measure of location l, and measure of spread

17
Q

If you are comparing with the mean, what measure of spread should you use

A

The interquartile range

18
Q

If you are comparing with the standard deviation, what measure of location should you use?