(F) Data Presentation Flashcards

(56 cards)

1
Q
  1. Textual presentation
  2. Using diagrams
  3. Using tables
  4. The sex ratio is 1:2

A. Narrative
B. Tabular
C. Graphical

A

ACBA

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2
Q
  1. It may be boring and may not be understandable for the readers.
  2. Complex data are presented in an organized fashion.
  3. In longer data content, this is not enough and not effective.
  4. Either a series of lines joined together, or bars or enclosed areas, drawn to represent certain statistical information under the consideration.

A. Narrative
B. Tabular
C. Graphical

A

ABAC

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3
Q
  1. Performance of Section in Statistics Test
  2. In-patient Ratings as to Quality of Accommodation
  3. Ten leading causes of mortality in the Philippines, 1986

A. Narrative
B. Tabular
C. Graphical

A

BBC

bigblackcock

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4
Q

Types of tabular presentation

A

● [A] Frequency Distribution
● [B] Correlation Data
● [C] Time Series Data

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5
Q

● Commonly used tabular presentation
● Data are grouped according to some scale of classification,
where the sum of the entries is equal to the total.
● These figures may either be in actual numbers, in percent, or in
both.
● The scales used may be qualitative, quantitative, or both.
● In classifying according to a qualitative scale, an individual is put into one or another part of the scale according to some more or
less readily recognizable attribute or characteristic.

A

FREQUENCY DISTRIBUTION

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6
Q
  1. simply working with one categorical variable
  2. visual representation of the
    possible relationships between two sets of categorical data

A. one-way table
B. Two-way frequency tables
C. Multiple frequency tables

A
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7
Q

FREQUENCY DISTRIBUTION

TOF.
1. Commonly used tabular presentation
2. Male’ and ‘Female’ are considered as qualitative or categorica data which is arranged from lowest to highest
3. All qualitative data must be arranged from highest to lowest except sex category
4. Ordinal data must be rearranged from highest to lowest.
5. Data may be classified using a combined qualitative and
quantitative scale.

A
  1. T
  2. F (highest to lowest)
  3. T
  4. F
  5. T
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8
Q

FREQUENCY DISTRIBUTION

  1. The two qualitative scales can be combined and the result will still be a?
  2. Combine 2 variables (Stage and Sex) called?
  3. What is the name of a table where participants can select more than one response, percentages are based on the number of participants, and total percentages do not sum to 100%?
A
  1. frequency distribution.
  2. cross tabulation
  3. Multiple response table
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9
Q
  • Used to compare two or more frequencies.
  • Simple presentation without attempts to present rates or ratios make the data a pure frequency distribution.
  • If rates or ratios are calculated and included in the table, summation of rows or columns will not give the total, hence the data lose their frequency nature but the table offers a better view of differences or correlation.
A

Correlation data

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10
Q
  • Variable changes over a period of time is the one being presented.
A

Time series

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11
Q
  1. BCG Coverage of Newborns, Region A, 1970-1976
  2. Incidence of COVID-19 by Sex, City X, November 2020
  3. Incidence of COVID-19 by Sex, City X, November 2020
  4. Age and Sex Distribution of Covid-19 Cases, City X, November 2020
  5. Performance of Section in Statistics Test

A. Frequency
B. Correlation
C. Time series

A
  1. C
  2. B
  3. A
  4. A
  5. A
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12
Q
  1. The process of tabulation is a?
  2. refers to the arrangement of any data in an orderly sequence, so that they can be presented concisely and compactly and so that they can be understood easily.
  3. TOF. Complex and extensive data should be presented in a narrative format rather than in a tabular form.
A
  1. process of classification.
  2. Tabulatin
  3. F
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13
Q

Which does not belong:

A. Table Number
B. Cell
C. Stubs
D. Source
E. Description

A

E

familiarize
1: Table Number
2: Title
3: Headnotes
4: Row & Column Headings
5: Stubs
6: Cell
7: Body of the table
8: Footnotes
9: Source

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14
Q

TABLE NUMBER

TOF.
2. Written in a capital letter
1. It must be written using an Roman number and never a Arabic numeral.
1. If tables are related, it must be written as 1.1, 1.2, 1.3 . It may also be written as 1a, 1b, 1c (all in small letters)
1. If your research paper includes only three tables, and they are interrelated, you should label them as a whole.
1. If your research paper involves national data and includes multiple related tables, the tables should be labeled ascTable 1.1, Table 1.2, Table 1.3, and so on.
1. A dash symbol (-) is placed before the table number

A
  1. T
  2. F (reverse)
  3. T
  4. F (in their respective no.)
  5. T
  6. F (after)
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15
Q

TITLE

TOF
2. Title is placed after the dash and table number.
1. If the title spans two lines, it should be indented. If the title spans three lines, it should be indented further to create an inverted pyramid effect.
1. Must be placed below the body of the table
1. Content of the title: should be the What, When, and Where
1. Only the first letter of important words are capitalized.

A
  1. T
  2. T
  3. F (above)
  4. T
  5. T
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16
Q

HEADNOTES

TOF.
2. aka Primary Caption
1. It should be placed inside parentheses, which are usually part of the title.
1. Headnotes are included when you need to clarify something within the title, such as the unit of measurement that will serve as an indicator.
1. All tables need to have headnotes

A
  1. F (secondary)
  2. T
  3. T
  4. F (not all)
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17
Q

ROW AND COLUMN HEADINGS

  1. the row classifier
  2. the intersection of row and column
A
  1. Stubs
  2. Cell
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18
Q
  • refers to all the cells within the table
A

Body of the table

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19
Q

FOOTNOTES

TOF
2. seen below the body of the table
1. placed in the table as superscripts to clarify a data
1. Not all tables need to have footnotes.

A

True all

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20
Q

SOURCE

TOF. If you create your own table, you do not need to reference a
source for it.

A

T

However, if you borrow a table from external resources or references, you should acknowledge the source.

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21
Q

GUIDELINES FOR FREQUENCY TABLES

  1. Be sure that the classes are mutually exclusive.
  2. Include all classes, except if the frequency is zero.
  3. Try to use the same width for all classes.
  4. Select convenient numbers for class limits.
  5. Use less than 5 classes.
  6. Use 7 since we do not want a lengthy table
  7. The sum of the class frequencies must equal the number of original data values.
A
  1. T
  2. F (zero still included)
  3. T
  4. T
  5. F (5-20)
  6. T (5-8)
  7. T
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22
Q

CONSTRUCTING A FREQUENCY TABLE

A. Add the class width to the starting point to get to the second limit
B. List the lower class limits in a vertical column and enter the upper class limits
C. Represent each score by a tally mark in the appropriate class
D. Decide on the number of classes
E. Determine the class width
F.Select for the first lower limit

A

DEFABC

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23
Q

TABULAR VS. GRAPHICAL PRESENTATION

  1. convey a simpler idea of what the statistics contain
  2. TOF. the table and graph are interconnected.
  3. Intended for comparison, to show any correlation, or simply for the purpose of data presentation
  4. More appealing
A
  1. Graphical
  2. T
  3. Graphical
  4. Graphical
24
Q
  • The real “meat” of reports, however, lies in the statistical tables. There is NO alternative to tables when large sets of detailed information is required.
  • Large, complex masses of data can be presented in a simpler language such that significant trends or patterns, which could otherwise be missed in tables, can be made to stand out more clearly.
A

Graphical presentation

25
TOF. The choice of the particular form of graph to be used is often a matter of personal preference.
T
26
# GENERAL PRINCIPLES IN CONSTRUCTING GRAPHS 1. TOF. No more lines or symbols should be used in a single graph than the eye can easily follow. 2. TOF. Completely self-explanatory. 3. TOF. The position of the title for a graph is one of personal choice. In published graphs, however, the title is commonly placed below the graph. 4. When more than one variable is shown on a graph, each should be clearly differentiated by means of? 5. The diagram or graph generally proceeds from (right-left/left-right, top-bottom/bottom-top)
1. T 2. T 3. T 4. legends or keys 5. left to right and from bottom to top.
27
# GENERAL PRINCIPLES IN CONSTRUCTING GRAPHS 1. TOF. No more coordinate lines should be shown than are necessary to guide the eye. 2. This should be drawn heavier than other coordinate lines. 3. This is generally represented on the vertical scale, with method of classification on the horizontal. 4. TOF. Table must be arranged from highest to lowest. 5. used in naming the graph followed by the Arabic number, followed by the dash, and the title of the figure (first letter of the important words are capitalized)
1. T 2. Scale 3. Frequency 4. T 5. Figure
28
* a graph that has a distance between the bars * the space between two bars should be half the height of the bar * Height of the bar = 1 cm * Height of the space = 0.5 cm * May contain coordinate lines that serve as the guide * Preferably presented from highest to lowest
Horizontal bar graph
29
* a graph used for quantitative discrete variables * discrete values are whole numbers (solo values) * should not have fractions and decimals * usually follows an ordinal order or ranking
Vertical bar graph
30
* a graph used for qualitative variables * The division of a pie chart should involve at least three variables. * The entire pie chart represents 100%, as it displays percentage values for a qualitative variable. * This should always be arranged from highest to lowest, starting at the 12 o'clock position. * Arrangement can be either clockwise or counterclockwise. * Even if ‘Others’ has the greatest percentage, it should be positioned at the end of the chart. * "Others" represents the total percentage of combined variables, essentially grouping various smaller categories into one. * It should not be used if values exceed 100.
Pie Graph
31
* A chart with a similar function to a pie chart, but with the added advantage of comparing two variables. * This graph is used to compare variables, with both components of the bar representing 100%. * It allows for side-by-side comparison of two variables, making it easy to visualize the differences between them at a glance.
Component bar
32
* This are used as identifiers, typically through patterns or colors, to label the pie chart elements
Legends
33
* A chart that connotes quantitative continuous variables * If the class intervals are uniform, the bars will be placed directly next to each other. * If the intervals are irregular, such as 1, 4-5, or 7-10, the bars will have varying widths due to the uneven class intervals.
HISTOGRAM
34
* A chart that connotes quantitative continuous variables * It is created by plotting the midpoints of each class interval on the x-axis and their corresponding frequencies on the y-axis. * Then, the points are connected by straight lines. * Similar to a histogram but uses points and lines instead of bars.
FREQUENCY POLYGON
35
* A line graph is often used when one of the variables is time, making it synonymous with a time series graph. * It shows trends over time, illustrating how a variable changes or progresses at different points in time. * This type of graph is particularly useful for analyzing patterns or trends related to time.
Line graph
36
used to correlate two quantitative variables (quantitative variable x and y)
SCATTER DIAGRAM
37
# Scatter diagram 1. occurs when an increase in the value of x results in an increase in the value of y. 2. occurs when an increase in the value of x results in a decrease in the value of y. 3. means the data points are randomly dispersed, without any clear pattern or trend
1. Direct or positive relationship 2. Inverse or negative 3. No relationship
38
# Parts of a graph Ex. A. Title B. Vertical or horizontal axis C. Legend D. Headnotes E. Body of a graph
D
39
# GRAPH COMMONLY USED IN RESEARCH DATA Identify the nature of variable 1. Bar graph 2. Histogram 3. Frequency Polygin 4. Line diagram 5. Bar diagram 6. Scatter point
1. Qualitative or Discrete quantitative 2. Continuous quantitative 3. Continuous quantitative 4. Time series 5. Qualitative 6. Quantitative
40
TOF. Graphs not only quickly inform us; they can quickly deceive us.
T
41
Graphical presentation used 1. Ten leading causes of mortality in the Philippines (1986) 2. Distribution of infants according to the no. of illnesses for the Year 3. Maternal deaths by main causes, PH
1. Horizontal 2. Vertical 3. Pie graph
42
4. Births by type of attendant: NCR vs Region 5. Lengths of 84 infants at birth in cm 6. Morbidity rates of four notifiable diseases, PH
4. Component bar 5. Histogram 6. Line graph 7.
43
# GRAPH COMMONLY USED IN RESEARCH DATA (QUALITATIVE) 1. For comparison of absolute or relative counts, rates, etc. between categories of a discrete quantitative variable 1. Shows the breakdown of a group or total where the number of categories is not too many (3 to 5 variables) 1. Same as Pie Chart — often used to compare two variables side by side
1. Bar graph 2. Pie chart 3. Component Bar Diagram
44
# GRAPH COMMONLY USED IN RESEARCH DATA (QUANTITATIVE) 1. Graphic presentation of the frequency distribution of a continuous variable or measurement including age groups 1. Same as Histogram – but uses lines instead of bars 2. Shows trend data or changes with time or age with respect to some other variable 1. Correlation data for two quantitative variables in x and y axis
1. Histogram 2. Frequency polygon 3. Line diagram 4. Scatterpoint
45
This can lead to misinterpretation or distortion of the data
Shrinking or stretching of graphs
46
The larger appearance of legends may suggest a larger population, while smaller legends may imply a smaller population. However, this can lead to misunderstandings by readers due to the distortion of?
picture graphs
47
Gain or lose 1. reader's attention 2. examine numeric detail 3. see additional relationships 4. focus on bigger picture 5. reach readers who are easily intimidated
1. Gain 2. lose 3. lose 4. gain 5. gain
48
# Exercises * Data on Age and income per month
○ Histogram: Age (x axis), Income (y axis) ○ Scatter plot: comparing quantitative two variables
49
# Exercise Distribution of cholesterol levels of hypertensive individuals
○ Narrative: only one average data may be stated in narrative form (e.g., 6.07 mmol/L) ○ Histogram: quantitative continuous variable
50
# Exercise Budget distribution for materials needed for natural disaster preparedness
○ Pie chart: since variables represents 100% ○ Component Bar graph may also be used
51
# Exercise Distribution of students as to place of practice and gender
○ Statistical Map: best choice to use ○ Component Bar Graph: for comparison of female and males ○ Spot Maps
52
# Exercise Frequency Distribution of Weight of students
○ Histogram ○ Frequency polygon
53
# Exercise Pre and post test scores of Stat 200
○ Bar Graph ○ Two (2) Separate Histograms
54
# Exercise * Average lifespan of Asians by country * Episodes of colds per year of health professionals
Bar graph
55
# Exercise Mean age of students enrolled in Stat 200
Narrative
56
# Exercise Distribution of students as to favorite color/s
○ Multiple response table ○ Bar graph