Practical Research 2 Quarter 4 Module 7

PRACTICAL RESEARCH 2
LEARNING MODULE 07:

Data Processing, Organizing, and Analysis
Quarter: 04 Week: 07
Name:____________________________________________________________________
Grade & Section:________________________________Score:__________________
Teacher:____________________________________________Date:________________
Learning Competencies
• Presents and interprets data in tabular or graphical forms
CS_RS12-IId- g-2
Objectives
• To construct data in graphical forms
• To discuss data processing, organizing, and analysis
• To write a sample analysis and interpretation of a quantitative data
Let’s Understand
Data Processing is the editing, coding, classifying, tabulating, and
presenting data through the chart or the diagram. The methods of
processing must vigorously be documented to ensure the utility and
integrity of data since as it is for the translation of the information
into the qualitative form for research analysis.
Steps in Data Processing
1. Classification or Categorization- It is the grouping of the statistical data
for convenient interpretation.
2. Coding of Data. It is necessary for efficient analysis by reducing the small
number of classes containing critical information. This process is more
useful for open-ended questions research instrument.
3. Tabulation of Data. It is the summary of raw data and displaying it in a
compact form for further analysis. There are two classifications of
tabulation data. The first one is the simple tabulation. It gives information
on one or more independent questions. The second one is the complex
tabulation. It gives information regarding two mutually dependent
questions.
4. Data Diagrams. These are the charts and graphs used to present data.
Data analysis is the process of developing answers to questions through the
examination and interpretation of data. It presents the gathered data and the
researcher’s analysis and interpretation of the distributed instruments. Data
1
analysis and data interpretation are the processes of assigning meaning to the
collected information and determining the conclusions, significance, and
implications of the findings.
Data Interpretation is the adequate exposition of the true meaning of the
material presented in terms of the purpose of the study. Data interpretation
is inextricably woven with the analysis.
Basic Statistical Tool
Statistics is a tool. Multitude statistical tools are accessible anywhere and
anytime. Organizing and simplifying data gives statistics value. It shows that
the analysis is under control or there is a change.
Statistical tests are critical in data interpretation. A researcher can compare
the data to determine the probability and the differences of results so the
researcher can conclude the hypothesis' validity.
Common Statistical Tools
1. The arithmetic mean or the average. This is the sum of a list of numbers
divided by the number on the list.
2. Frequency Distribution. It is presented in tables or charts that show how
many of your evaluation participants fall into various categories of interest.
3. The Pie Chart. It represents the percentage of that category.
4. The Bar Chart. It is equal to the frequency in the category.
5. The Standard Deviation. It signifies that the data is spread more widely
from the mean, where a low standard deviation signals that more data
align with the mean.
6. T-Tests. It is to test if the difference of means is statistically significant.
7. Pearson (r) Correlation. It is used to find the correlation between at least
two continuous variables.
8. Chi-square Tests. There are two types of them. The first one is the chi-
square test compares the frequency count of what is expected in theory
against what is observed. The second chi-square test is also called the chi-
square test with two variables or the chi-square test for independence.
Let’s Apply
Construct a bar graph and pie graph for the proposed 2020 Philippine
National Budget.
Department of Education PhP 692.6 billion

Department of Public Works and PhP581.7 billion
Highway
Department of the Interior and PhP241.6 billion
Local Government
Department of Health PhP175.9 billion
2
Let’s Analyze
1. List down the steps in data processing.
2. Write the relationship between the data analysis and data
interpretation in the quantitative research.
Let’s Try
Match Column A to Column B. Write the letter of your answer.
Column A Column B
1. Pearson (r) Correlation A. It tests the difference of
means and its statistically
significance.
2. Standard Deviation B. It represents the distribution
of responses around the
mean.
3. Coding Data C. It is a must for efficient
analysis and reduce replies to
small number of classes.
4. Data Diagrams D. It is used to find the
correlation between at least
two continuous variables.
5. T-tests E. Charts and graphs to present
data.
Let’s Create
*Goal
To write a sample results and discussion of the data
*Role
Researcher
*Audience
Your audience will be your classmates, learning facilitator, and
teacher.
*Situation
As a researcher, you need to analyze the quantitative data. Use the
given data in the Let’s Apply part of this module. Then, discuss and
interpret the results of the data. Write your results and discussion on
a separate sheet of paper.
*Product Performance
A written report of the analysis and interpretation of the proposed
2020 Philippine’s National Budget.

Practical Research 2 Quarter 4 Module 7

Uploaded by

Copyright:

Available Formats

Practical Research 2 Quarter 4 Module 7

Uploaded by

Document Information

Original Description:

Original Title

Copyright

Available Formats

Share this document

Share or Embed Document

Sharing Options

Did you find this document useful?

Is this content inappropriate?

Copyright:

Available Formats

Practical Research 2 Quarter 4 Module 7

Uploaded by

Copyright:

Available Formats

PRACTICAL RESEARCH 2

LEARNING MODULE 07:

Department of Education PhP 692.6 billion

You might also like