2.1 organizing data Flashcards

1
Q

raw data

A

data collected in original form

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2
Q

frequency distribution

A

organization of raw data in table form, using classes & frequencies

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3
Q

class

A

vale’s placed into a quantitative (measurement/ counting)or qualitative (characteristics) category

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4
Q

frequency

A

number of data values contained in a specific class

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5
Q

class limit

A

27-35, 36-44,etc

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6
Q

categorical frequency distribution

A

data that can be placed in specific categories nominal (categories (no ordering or direction) ) or ordinal (ordered categories)

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7
Q

formula for percentage

A

% = f/n x 100

f - frequency
n - #=of values total

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8
Q

grouped frequency distribution

A

data being is large, must be grouped into classes

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9
Q

lower class limit

A

58 - 64, 58 is the lowest

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10
Q

upper class limit

A

58 - 64, 64 upper limit

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11
Q

class boundaries

A

used to separate the classes so there are no gaps in the frequency distribution

Example: gap between 64 and 65

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12
Q

class width

A

subtract lower (or upper) class limit of one class from the lower (or upper) class limit of the next class

Example: 	45 46
			47 	48
			49  50
48 - 46 = 2 
50 - 48 = 2 
width = 2
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13
Q

class midpoint

A

numeric location of the center of the class

lower + upper boundary/ 2 = Xm

or

lower limit + upper limit/ 2 = Xm

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14
Q

frequency distribution must be mutually exclusive (overlapping)

A

Example:

10 - 20
20 - 30
30 - 40

if someone who was 30, which category would they be placed in. THEY CANT

Example correct way: 20 -30
31 - 41
42 - 52

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15
Q

Rules for constructing frequency distribution

A
  • between 5 and 20 classes
  • class width be odd numbers (not necessarily
  • non overlapping
  • must be continuous
  • classes to accommodate all data
  • classes must be equal in width
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16
Q

open- ended distribution

A