DATA PRESENTATION Flashcards

1
Q

Purposes:
* primary: communicate information about the data to the user
* display data clearly and effectively
* summarize quantities of information

A

DATA PRESENTATION

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2
Q

Characteristics:
* display data
* avoid distortion of data
* allow the viewer to make comparisons
* allow the reader to think what the data convey
* allows description, exploration, tabulation or decoration
* be closely related to the statistical and verbal description of the data set

A

DATA PRESENTATION

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3
Q
  • describing data by the use of statements with few numbers
  • presented in paragraphs or sentences
  • explain results and trends, and provide contextual information
    Purpose:
  • to stress or emphasize significant information
A

Textual Presentation

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4
Q

Advantages:
* gives emphasis to significant data
* use for few data

Disadvantages:
* data becomes incomprehensive when large quantitative data are
included in paragraph
* paragraph involving many figures can be tiresome to most readers when
same words are repeated many times

A

Textual Presentation

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5
Q
  • data are converted into words or numbers in rows and columns
  • note: data should never be put in a table if it can be described in 1-2 sentences

Consideration in table construction:
* simplicity
* clarity
* directness

A

Tabular Presentation

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6
Q

Purposes:
* data checking and editing
* summarizing and presenting data
* basis, aid in graph or chart construction

A

Tabular Presentation

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7
Q

______ table
* single table which allows the distribution of observations across many
variables of interest in a given study
* each observation is cross classified across the variables which may be
quantitative or qualitative data

Purpose:
* store information with an aim of presenting detailed statistical data
* facilitate generation and tabulation of smaller table

A

MASTER TABLE

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8
Q
  • self-explanatory
  • all sources are specified
  • headings are specific and understandable for every column & row
A

Tabular Presentatio

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9
Q

_______ table
* complete except for data
* give preview of what table outputs may be expected from the study
Purpose:
* help researcher clarify instrument
* help protocol reviewer & computer programmer

A

DUMMY TABLE

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10
Q

Tables by number of variables presented

A
  • One-way table
  • Two-way table
  • Multi-way table
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11
Q
  • pictorial representations of certain quantities plotted with reference to a
    set of axes
  • graphs simplify complex information by using images and emphasizing
    data patterns or trends
  • useful for summarizing, explaining, or exploring quantitative data
  • present both large and small amounts of data
A

Graphical presentation

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12
Q

Advantages:
* easy to understand
* compact and concise than textual form
* presents greater detail of data than graph
* readily points out trends, comparisons and interrelations
* facilitates analysis of categories of given variable

Disadvantages:
* too many rows and columns could make it difficult for the reader to
understand the data
* requires more time to construct

A

Tabular Presentation

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13
Q

Uses:
* visually summarize the variables (data set is large)
* emphasize particular statement about data set
* enhance readability
* appeal the visual memory

A

Graphical presentation

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14
Q
  • circles subdivided into a number of slices
  • area of each slice represents the relative proportion data points falling
    into given category
  • use to show how a
    whole is divided
    into its component
    parts which could
    be breakdowns of
    groups or totals
A

Pie chart

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15
Q
  • consists of bars of the same sizes
  • horizontal or vertical with gaps between to emphasize discontinuities
  • also know as one dimensional diagram
A

Bar graph

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16
Q

used for qualitative
variables

A

Vertical bar
graph

17
Q
  • used for discrete quantitative variable
A

Horizontal bar graph

18
Q
  • each bar is divided into smaller rectangles representing the parts
  • area of each smaller rectangle is proportional to the relative contribution
    of the component to the whole
  • generally used for nominal data
A

Component bar graph

19
Q
  • plot of dots joined with lines over some period of time in sequential
    series
  • time series charts
A

Line graph

20
Q
  • bar is used to depict number or relative frequencies of data points falling
    into the given class
  • bars are drawn over the true limits of the classes, no gaps exist in between
A

Histogram

21
Q

similar to histogram except that:
* frequencies are plotted against the corresponding midpoints of the
classes
* adjacent points are joined with lines and the plot is tied down to the
horizontal axis resulting in multi-sided polygon

A

Frequency polygon

22
Q
  • primarily for small set of data
  • provides rank-ordered lists and its easier
    to restore the original value of the
    observation
A

Stem-and-leaf plot

23
Q
  • shows description of a large quantitative data
  • include center, spread, shape, tail length, and outlying data points
  • can be presented horizontal or vertical
  • height of rectangle is arbitrary and has no specific meaning
  • used for comparing the distributions of several variables or the
    distribution of a single variable in several groups on the same scale
A

Box plot

24
Q
  • shows the relationship between two quantitative variables
  • gives rough estimate of the type and degree of correlation between the
    variables
A

Scatter plot

25
Q

Advantages:
* main feature & implications of the body of data can be grasped at a
glance
* more attractive & appealing to a wider range of readers
* simplifies concepts that would otherwise have been expressed in so
many words
* shows trends & patterns of a large set of data
* comparisons could be made more striking
* can be readily clarify data

Disadvantages:
* cannot show as many sets of facts
* can only show approximate values
* require more time to construct
* may be used to misinterpret results

A

Graphical presentation