This document discusses the presentation, analysis, and interpretation of data. It describes three ways to present data: through textual, tabular, and graphical presentation. Textual presentation involves organizing data into categories using words. Tabular presentation displays data in a table format. Graphical presentation uses visuals like charts and graphs. The document also discusses analyzing data through qualitative and quantitative methods, and classifying data based on characteristics. Finally, it outlines three levels of interpreting data: inference, evidence-based, and insightful synthesis.

1. PRESENTATION,
ANALYSIS,
AND
INTERPRETATION OF
DATA

2. Presentation of
Data
• Presentation is the process
of organizing data into
logical, sequential, and
meaningful categories and
classifications to make them
amenable to study and
interpretation.

3. Three ways of
presenting data
• Textual Presentation of Data
• Tabular Presentation of Data
• Graphical Presentation of
Data

4. Example of Textual Presentation of Data:
Of the 59 Science teachers, 21 or
35.59 percent have earned a Bachelor of
Arts degree with education units, four
percent have earned a Bachelor of Science
in Civil Engineering degrees with education
units, 31 or 52.54 percent a Bachelor of
Science in Education degree, and three or
5.08 percent a Master of Arts degree.
According to government
regulations, all teachers are qualified to
teach in the high school.

5. Example of Tabular Presentation of Data:
Table 5
Distribution of Respondents
by Field of Specialization and by School
School
TOTAL
Subjects SDES MLQES HSES
f % F % f % f %
English 7 6.60 20 18.87 8 7.55 35 33.02
Filipino 5 4.72 0 0.00 6 5.66 11 10.38
Math 2 1.89 6 5.66 6 5.66 14 13.21
Science 7 6.60 6 5.66 6 5.66 19 17.92
Hekasi 3 2.83 3 2.83 2 1.89 8 7.55
EPP 1 0.94 4 3.77 2 1.89 7 6.60
MSEP 1 0.94 1 0.94 2 1.89 4 3.77
Values Educ. 1 0.94 5 4.72 2 1.89 8 7.55
TOTAL 27 25.47 45 42.45 34 32.08 106 100.00

6. Example of
Graphical Presentation of Data
60
50
40
A
30
B
20 C
10
0
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr

7. Analysis
• Is the process of breaking up
the whole study into its
constituent parts of categories
according to the specific
questions under the statement
of the problem

8. Two ways of data
analysis:
• Qualitative analysis
• Quantitative analysis

9. Classification of
data
Classification is grouping
together data with
similar characteristics.

10. The bases of classification
are the following:
• Qualitative (kind)
• Quantitative
• Geographical
• Choronological

11. Three levels of interpretation:
• Based on inference and
deductions;
• Based on documented evidences,
supporting or contradicting the
findings of the study;
• Based on the researcher’s
insightful interpretation using
implications and synthesis.

12. Types of Grouped-derived
Generalizations
• Generally, only proportional
predictions can be made.
• The average can be made to
represent the whole group.
• Full-frequency distribution reveals
characteristics of a group.
• A group itself generates new
qualities, characteristics,
properties, or aspects not present
in individual cases.

13. End of Report
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