BIOE: Data Presentation Flashcards

1
Q

• display data clearly and effectively
• summarize quantities of information

A

DATA PRESENTATION

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2
Q

• 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

Example:
• “The incidence rate of delirium following anesthesia was 11% in 2016 and 15% in 2017; no signific

A

Textual Presentation

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5
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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6
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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7
Q

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

A

Tabular Presentation

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8
Q

Guidelines:
• self-explanatory
• all sources are specified
• headings are specific and understandable for every column & row
• row and column totals are checked for accuracy
• cells are not left blank; enter “0” or “-”
• categories are mutually exclusive and exhaustive

A

Tabular Presentation

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9
Q
  1. ________ 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

Tabular Presentation

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10
Q

Types:
2. _______ 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

Tabular Presentation

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11
Q

Types:
2. Tables by number of variables presented
• One-way table
• Two-way table
• Multi-way table

A

Tabular 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

A

Tabular Presentation

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13
Q

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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14
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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15
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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16
Q

Guidelines:
• include, below the figure, a title providing all relevant information • be referred to as figures in the text
• identify figure axes by the variables under analysis
• quote the source which provided the data, if required
• demonstrate the scale being used
• be self-explanatory

A

Graphical presentation

17
Q

Types:
• pie chart
• bar graph
• component bar graph • line graph
• histogram
• frequency polygon
• stem-and-leaf plot
• box plot
• scatter plot

A

Graphical presentation

18
Q

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

A

Pie chart

19
Q

• consists of bars of the same sizes
• horizontal or vertical with gaps between to emphasize discontinuities
• also know as _____________________
• types:
• simple bar graph
• multiple bar graph
• height of bars/rectangles: quantity of variables

A

Bar graph

20
Q

Guidelines:
• height of bars should be proportional to the frequencies or rates of categories
• width of bars should be equal
• percentages & rates must be used when total number of observations for
the groups are not uniform
• when percentages are used, the sum of the heights of all the bars must be equal to 100%
• to make them more appealing, bars are either colored or shaded in different ways

A

Bar graph

21
Q

• plot of dots joined with lines over some period of time in sequential series
• _________________
• horizontal axis: time series • vertical axis: variable values

A

Line graph

22
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
• horizontal axis: continuous quantitative
• vertical axis: number of relative frequencies
• preferred for grouped interval data

A

Histogram

23
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

24
Q

• primarily for small set of data
• provides rank-ordered lists and its easier to restore the original value of the observation
• lines gives more information than bars in histogram
• used to show the actual data value instead of using bars to represent the height of an interval

A

Stem-and-leaf plot

25
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

26
Q

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

A

Scatter plot

27
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

A

Graphical presentation

28
Q

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