The document outlines data analysis in research, emphasizing the transformation of collected data into meaningful conclusions using statistical methods. It details descriptive and inferential statistics, various statistical techniques, and the steps involved in the data analysis process. Key elements include defining research questions, selecting appropriate techniques, and effectively communicating results.

1. Statistical
Treatment of
Data
GROUP 4

2. DATA ANALYSIS

3. DATA ANALYSIS
In research, It is a process in which gathered
information are summarized in such a
manner that it will yield answers to the
research questions.

4. Research
Design
Sampling
Research
Instrume
nt
Data
Collection
Data
Analysis
METHODOLOGY

5. applying a form of statistical method to a
data set to transform it from a group of
meaningless numbers into a meaningful
output.
STATISTICAL
TREATMENT

6. Descriptive
STATISTICS
Inferential
STATISTICS
- used to describe and
summarize data
- often presented in the form
of graphs
- based on the probabilities
that certain events would
occur simply by chance.
- drawing conclusions about
populations
STATISTICAL TECHNIQUE

7. STATISTICAL
TREATMENT
Inferential
Statistics
Descriptive
Statistics
Measures of
Variability
Measures of
Central
Tendency
Parametric
Tests
Non-
parametric
Tests

8. Measures of Central Tendency
DESCRIPTIVE STATISTICS
MEAN MEDIAN MODE
center

10. Measures of Variability
DESCRIPTIVE STATISTICS
RANGE VARIANCE STANDARD
DEVIATION
spread/dispersion

14. STATISTICAL
TREATMENT
Inferential
Statistics
Descriptive
Statistics
Measures of
Variability
Measures of
Central
Tendency
Parametric
Tests
Non-
parametric
Tests

15. RESOURCE
Page
Pearson’s r
Phi coefficient
Spearman’s rho
INFERENTIAL STATISTICS
Test of Relationship between Two
Variables

16. RESOURCE
Page
T-test for
dependent samples
McNemar
change test
Wilcoxon
signed-rank test
INFERENTIAL STATISTICS
Test of Difference between Two Data
Sets from One Group

17. RESOURCE
Page
T-test for
independent samples
Two-way
chi-square
Mann-Whitney
U test
INFERENTIAL STATISTICS
Test of Difference between Two Data
Sets from Two Different Groups

18. RESOURCE
Page
Analysis of
Variance or
ANOVA
INFERENTIAL STATISTICS
Test More than Two Population Means

19. RESOURCE
Page
Regression
INFERENTIAL STATISTICS
Test the Strength of Relation or Effect or
Impact

20. 1 Define research questions or
objectives.
2 Understand the type of data.
3 Select an appropriate
statistical technique.
4 Consider assumption and
limitations.
5 Conduct the Data Analysis.
6 Validate the results.
7 Communicate results
effectively.
DATA
ANALYSIS
PROCESS

21. Thank you!