Data processing, presentation and interpretation Flashcards

1
Q

Outlier formulae

A
  • Greater than Q3+1.5(Q3-Q1)
  • Less than Q1-1.5(Q3-Q1)
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2
Q

Ways of representing data

A

Box plots, cumulative frequency graphs, histograms

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3
Q

Mean of values from frequency tables

A

mean= (total of (xf))/n
x= value of variable
xf= value of variable x frequency
n= number of data items (total frequency)

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4
Q

Advantages and disadvantages of grouped data

A

+ Easier to display data
- Information is lost in the form of individual values, and therefore any measures calculated are only estimates

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5
Q

Displaying continuous grouped data

A

Frequency charts, histograms

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6
Q

Frequency charts

A

Used to display data that are grouped into classes of equal width

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7
Q

Histograms

A

frequency density= frequency/class width
frequency density represented by y axis of histogram
frequency= area of bar

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8
Q

Working out mean from grouped continuous data

A

mean= total of (mid-value x frequency)/total frequency

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9
Q

What is the moral class in grouped continuous data

A

The highest bar of the histogram (highest frequency density)

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10
Q

Cumulative frequency curves

A
  • Plot upper bound of each class interval against cumulative frequency, then join points with smooth curve
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11
Q

Bivariate data

A

Investigating the relationship between two variables

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12
Q

Displaying bivariate data

A

Scatter graphs can be plotted and then correlation (strong/weak positive/negative) can be identified

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13
Q

Measures of spread of data

A

-Range
-IQR
-Standard deviation

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14
Q

Standard deviation formula

A

Standard deviation= square root of (sum of (x- mean)^2)/n

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