Tables and Graphs Flashcards
Methods of Data Presentation: Textual
- Places important figures in the text of the study
- Allows us to highlight the significant figures in the study
- Confirms deductions and answers to the research problem
- Figures may be summary statistics like the minimum, maximum, mean median, mode, standard deviation, percentage, or total
Presenting Data with Text
data or highlights of the data are incorporated to a paragraph or in a textual presentation
Advantages of Textual Presentation
a) This presentation gives emphasis to significant figures and comparisons, usually highlighted in the text.
• b) It is simplest and most appropriate approach when there are only a few numbers to be presented such as numerical measures that summarize the data.
Disadvantages of Textual Presentation
a) When a large mass of quantitative data is included in a
text or paragraph, the presentation becomes almost
incomprehensible.
• b) Paragraphs can be tiresome to read especially if the same words are repeated so many times.
Methods of Data Presentation: Tabular
- Arrangement of figures in rows and columns for easy
reading and analysis - Compares and look for relationships among the
variables of interest - It can have frequency counts, proportions,
percentages, and other summary measures such as
totals and averages
Formal Statistical Table
• Contains all the important parts of a table like a table number, table title, head note, stub head, box head, column headings, footnotes, source
notes, etc.
• Can stand alone even without an introductory statement
The Parts of a Formal Statistical Table
- Spanner head
- Column head
- Stub head
- Row captions
- Footnotes
Table Spanner
A table spanner is a heading that covers the entire table body.
Tabular Presentation
- the systematic organization of data in rows and columns
Advantages of Tabular Presentation
Advantages:
• a) more concise than textual presentation
• b) easier to understand
• c) facilitates comparison and analysis of relationship among
different categories
• d) presents data in greater detail than a graph
Frequency Distribution
tabular arrangement of data by grouping the values into mutually exclusive classes and showing the number of observations falling in each class
Single-Value Grouping Frequency Distribution Table
form of frequency distribution where the distinct values are used as classes; commonly used for qualitative types of data
Grouping by Class Intervals
a form of frequency distribution where mutually exclusive classes are in the form of intervals; used for quantitative types of data.
Graphs
A device for showing numerical values or relationships in pictorial form.
Qualities of a Good Graph
• Accurate – should not be deceptive, distorted, or misleading
• Simple – should be straightforward, not loaded with
irrelevant or trivial symbols and ornamentation
• Clear – should be easily read and understood
• Attractive – to attract and hold attention