Representation and summary of data—location Flashcards

1
Q

What are quantitative variables?

A

Variables associated with numerical observations

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2
Q

What are qualitative variables?

A

Variables associated with non-numerical observations

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3
Q

What is a continuous variable?

A

A variable that can take any value in a given range

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4
Q

What is a discrete variable?

A

A variable that can take only specific values in a given range

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5
Q

What are class boundaries?

A

The midpoint between the upper and lower limits of two consecutive classes

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6
Q

What is the width of a class?

A

The difference between its boundaries

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7
Q

What is the mode?

A

The most frequent value

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8
Q

What is the median?

A

The middle value when sorted in ascending order

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9
Q

How can, say, the third quartile be found?

A

Letting n equal the number of items; if 3n/4 is a whole number, it is the midpoint of the 3n/4 and the (3n/4)+1 values. Else it is the ⌈3n/4⌉ value

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10
Q

How is grouped data always treated when estimating values from it?

A

As continuous data

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11
Q

What is the mean?

A

The sum of all values divided by the number of values

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12
Q

How is the mean of a sample notated?

A

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13
Q

How is the mean of an entire population notated?

A

µ

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14
Q

When should the mode be used?

A

When the data is qualitative

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15
Q

When should the median be used?

A

When the data is quantitative and there are extreme values

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16
Q

When should the mean be used?

A

When there are no extreme values

17
Q

How can the nth value of grouped data be estimated using interpolation?

A

l + w(n-c)/f where:

l is the lower boundary of the class containing the nth value;
w is the width of the class containing the nth value;
c is the cumulative frequency of the classes before the nth value's class;
and f is the frequency of the class containing the nth value
18
Q

What is coding?

A

The process of making a set of data simpler to handle

19
Q

If y=(x-a)/b, express x̄ in terms of ȳ

A

bȳ+a