presentation of quantitative data Flashcards

1
Q

define scattergram

A

type of graph that represents strength & direction of relationship between co-variables in correlational analysis

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2
Q

define bar chart

A

type of graph in which frequency of each variable is represented by height of bars

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3
Q

define histogram

A

type of graph which shows frequency but, unlike bar charts, the area of the bars represents frequency - the x-axis must start at true 0 & scale is continuous

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4
Q

what do summarising tables include

A

raw scores that have been converted into descriptive statistics

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5
Q

where is it standard practice to include a summarising paragraph

A

beneath table explaining numbers & drawing conclusions

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6
Q

when is a bar chart suitable

A

when difference in mean values wants to be easily seen

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7
Q

when are bar charts used

A

when data is divided into categories (discrete data)

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8
Q

why are bars separated on a bar chart

A

to denote that we are dealing with separate conditions

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9
Q

what is plotted on the x-axis on a bar chart

A

frequency/amount of each category

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10
Q

what do the bars touching on a histogram show

A

x-axis data is continuous rather than discrete

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11
Q

what is the x-axis made up of on a histogram

A

equal-sized intervals of a single category

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12
Q

what does the y-axis represent on a histogram

A

frequency within each interval

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13
Q

what do scattergrams depict

A

associations between co-variables

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14
Q

what occupies the x-axis/y-axis on a scattergram

A

either of the co-variables

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15
Q

what does each point on the graph correspond to (scattergram)

A

x & y position of co-variables

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16
Q

define normal distribution

A

symmetrical spread of frequency data forming bell-shaped curve - the mean, median & mode are all located at highest peak

17
Q

define skewed distribution

A

spread of frequency data that isn’t symmetrical, where data clusters at one end

18
Q

define positive skew

A

type of frequency distribution in which the long tail is on the positive (right) side of peak & most of distribution concentrated on left

19
Q

define negative skew

A

type of frequency distribution in which the long tail is on the negative (left) side of peak & most of distribution concentrated on right

20
Q

2 types of distributions

A
  • normal distribution
  • skewed distribution
21
Q

describe normal distribution

A
  • when measuring certain variables, the frequency of these measurements should form a bell-shaped curve
  • symmetrical
  • most people/items located in middle area of curve
  • mean, median & mode all occupy same midpoint of curve
  • ‘tails’ of curve (extend outwards) never touch x-axis
22
Q

describe a positive skew

A
  • most of distribution concentrated to left of graph = long tail on right
  • various measures of central tendency are affected by this situation
  • mode remains at highest point of peak, median next & mean is dragged across towards ‘tail’
23
Q

describe a negative skew

A
  • bulk of scores concentrated on right
  • long tail of anomalous scores on left
  • mean is pulled to left, mode dissecting highest peak & median in middle