M2L4: Frequency Distribution Flashcards

1
Q

With only a handful of scores, data are simply arranged from highest to lowest.

A

Ungrouped frequency distribution

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2
Q

This is a table that shows the scores in groups

A

Grouped frequency distribution

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3
Q

“a group of scores”

A

Class interval

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4
Q

“the end numbers of the class interval”

A

Class limit

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5
Q

the number of scores falling in each class interval

A

Class frequency

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6
Q

the difference between the upper limit of the class and the preceding class

A

Class size
Class size = Upper limit - lower limit

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7
Q

the midpoint of a class interval

A

Class mark
Class mark = (Upper limit + Lower limit) / 2

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8
Q

true class limits

A

Class boundaries

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9
Q

is defined as halfway between the lower-class limit of the class and the upper-class limit of the preceding class

A

Lower class boundary (LCB)

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10
Q

is defined as halfway between the upper-class limit of the class and the lower class limit of the succeeding in class

A

Upper-class boundary (UCB)

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11
Q

highest score - lowest score

A

Range

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12
Q

illustrate the processes of organizing and describing data

A

Frequency distribution

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13
Q

2 Methods of organizing data

A

1) Frequency distributions
2) Graphs

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14
Q

a table in which all of the scores
are listed along with the frequency with which each occurs.

A

Frequency distribution

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15
Q

The frequency distribution is a way of presenting data that makes the pattern of the data easier to see.

A

True

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16
Q

You can make the data set even easier to read by grouping the scores and creating a class interval frequency distribution.

A

True

17
Q

individual scores are combined into
categories, or intervals, and then listed along with the frequency scores in each interval.

A

Class interval frequency

18
Q

A rule of thumb when creating class intervals is to have between 10 and 20 categories (Hinkle, Wiersma, & Jurs, 1988).

A

True

19
Q

A quick method of calculating what the width of the interval should be is to subtract the lowest score from the highest score and then divide the result by the number of intervals you want.

A

(Schweigert, 1994)

20
Q

Upper limit - lower limit

A

Class size

21
Q

(Upper limit + Lower limit) / 2

A

Class mark

22
Q

used to show the distribution of a categorical
variables.

A

Bar charts

23
Q

comparing levels of nominal variables

A

Vertical bar graphs

24
Q

commonly used to compare levels of ordinal variables

A

Horizontal bar graphs

25
Q

used to show what part of the whole each
level of category variable is

A

Pie charts

26
Q

used to visualize the value of variables over
time

A

Line graphs

27
Q

uses intervals of values and has no gap
between bars

A

Histogram

28
Q

it uses the actual values of the quantitative variables

A

Stem plot or stem and leaf plot