Lecture 5 Flashcards

1
Q

data that has not been
placed in any group or category after
collection

A

UNGROUPED DATA

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2
Q

data classified into groups after collection

A

GROUPED DATA

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3
Q

sum of the data values divided by the number of
data values

A

MEAN

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4
Q

divides the distribution into two equal parts.

A

MEDIAN

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5
Q

sometimes called nominal average

A

MODE

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6
Q

statistics that describe
various subdivisions of a frequency
distribution into equal proportions

A

QUANTILES

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7
Q

split
the ordered data
into four quarters

A

QUARTILES

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8
Q

split the
ordered data into
ten equal.

A

DECILES

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9
Q

split
the ordered data
into 100 equal
parts.

A

PERCENTILES

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10
Q

the difference between the largest and the smallest
observations or items in a set of data

A

RANGE

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11
Q

A measure where the bulk of the values lie

A

INTERQUARTILE RANGE

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12
Q

It is a measure of how far away items in a data set are from
the mean.

A

STANDARD DEVIATION

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13
Q

It represents all data points in a set

A

VARIANCE

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14
Q

the degree of distortion from the
symmetrical bell curve or the normal distribution

A

SKEWNESS

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15
Q

Negatively Skewed/Skewed Left

A

SKEWNESS < 0
Mean < Median < Mode

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16
Q

Positively Skewed/Skewed Right

A

SKEWNESS > 0
Mode < Median < Mean

17
Q

It is actually the measure of outliers present in the
distribution.

18
Q

This distribution has
kurtosis statistic similar to that of the normal
distribution

A

MESOKURTIC

19
Q

Peak is higher and
sharper than normal distribution, which means that
data are heavy-tailed or profusion of outliers

A

LEPTOKURTIC
Kurtosis > 3

20
Q

its tails are shorter
and thinner, and often its central
peak is lower and broader

A

PLATYKURTIC
Kurtosis < 3