Chapter 2 Flashcards

1
Q

Frequency Distribution

A

shows how a data set is partitioned among all of several categories by listing all of the categories along with the number of data values in each of them.

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2
Q

Lower Class Limit

A

the smallest numbers that can actually belong to different classes

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3
Q

Upper Class Limits

A

the largest numbers that can actually belong to different classes

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4
Q

Class Boundaries

A

numbers used to separate classes, but without the gaps created by class limits

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5
Q

Class Midpoints

A

Values in the middle of the classes and can be found by adding the lower class limit to the upper limit and dividing by two

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6
Q

Class Width

A

Difference between two consecutive lower class limits or two consecutive lower class boundaries

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7
Q

Relative Frequency Distribution

A

Includes the same class limits as a frequency distribution, but the frequency of a class is replaced with a relative frequency (%)

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8
Q

Histogram

A

A graph of bars of equal width drawn adjacent to each other. X values the classes of quantitative data. Y values represent the frequencies.

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9
Q

Scatterplot

A

a plot of a paired (x,y) quantitative data with a horizontal x-axis and a vertical y-axis

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10
Q

Time series graph

A

Data that have been collected at different points in time

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11
Q

Pie Chart

A

graph depicting qualitative data as slices of a circle, in which the size of each slice is proportional to frequency count.

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12
Q

Frequency Polygon

A

Uses line segments connected to points directly above class midpoint values.

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13
Q

Ogive

A

a line graph that depicts cumulative frequencies

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14
Q

Nonzero Axis

A

Graphs can be misleading, because one or both of the axes begin at some value other than zero so that differences are exaggerated, Skewes perception

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15
Q

Pictographs

A

Drawings of objects to represent data, allows the audience to process it beyond raw data, but can distort perceptions of the data.

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