Diploma in Applied Research & Statistics

Course Description

Research methodology is the specific procedures or techniques used to identify, select, process, and analyze information about a topic. In a research paper, the methodology section allows the reader to critically evaluate a study’s overall validity and reliability.

Vision

The objective is to provide students with the requisite knowledge and abilities to emerge as prominent authorities in the domain of applied research and statistics, therefore enabling them to make substantial contributions to their respective companies and communities.

Mission

The primary objective of this Program (Diploma in Applied Research and Statistics) is to offer students a comprehensive and hands-on academic experience in the principles, methodologies, and applications of research and statistics. The primary objective of the program is to cultivate graduates who possess the skills necessary to engage in rigorous research, proficiently analyses intricate data sets, and effectively make well-informed judgements across many domains.

Research Methodology process

Week 1
Chapter 1 Research: A Way of Thinking.
Chapter 2 The Research Process: A Quick Glance
Phase 1: Deciding what to Research.
Step1: Formulating A Research Problem.
Chapter 3: Reviewing the literature.
Chapter 4: Formulating a Research Problem.
Chapter 5: Identifying Variables.
Chapter 6 Constructing Hypotheses.
Week 2
Phase 2: Plan How to Research.
Step2: Conceptualizing a Research Design
Chapter 7: The Research Design
Step3: Constructing a Research Instrument for Data Collection
Chapter 8: Selecting Methods of Data Collection
Chapter 9: Establishing the Validity and Reliability of a Research Instrument.
Step4: Selecting Sample.
Chapter 10: Selecting a Sample.
Step5: Writing a Research Proposal.
Chapter 11: Writing a research proposal.
Phase 3: Conduct the Research.
Step 6: Collecting Data.
Chapter 12: Considering Ethical Issues in Data Collection
week 3
Step7: Processing & Displaying Data.
Chapter 13: Processing data
Chapter 14: Displaying Data
Step 8: Writing a research report.
Chapter 15: Writing a research report

Research Methodology by Practice

Week 4
Developing a Research Topic:
Choose a research Topic
Chapter one: Introduction
Chapter one Build up
1.0 Introduction
1.1 Background of the Study
1.2 Problem Statement of the study
1.3 General objective of the study.
1.4 Specific Objectives of the Study
1.5 Research Questions of the study.
1.6 Scope of the Study.
1.7 Significance of the Study.
1.8 Operational Definitions of the study.
1.9 Conceptual Framework of the study
Week 5
Chapter two: Literature Review
Review and Corrections
Chapter Three: Methodology
week 6
Reference
Developing a Questionnaire
Preliminary Pages:
Cover Page
Approval Page
Declaration Page
Acknowledgement Page
Content Table
Page Number
week 7
Data Collection & Data Entering (by Online)
Data Collection & Data entering (Offline)
Chapter Four: Data Presentation, Analyzing and Interpretation
Chapter Four Build up
Normality Test
Validity test (Report)
Reliability test (Report)
week 8
Data Presentation (Tables & Charts).
Data Analyzing and Interpretation of Frequency tables.
Correlational Test & Regression Test.
week 9
Chapter Five: Discussion on Findings, Conclusion and Recommendation
Others of Thesis
 Wadareynta Book-ga.
 Grammar.
 Abstract.
 List of Tables.
 List of Figures.
 List of Abbreviations (acronyms).
 Updating the Preliminary Pages.
 Appendices
 Defending Slide
Thesis Submission and Defending

Applied Descriptive and Inferential Statistics)

Week 10
Chapter One: The Nature of Probability and Statistics
Descriptive and Inferential Statistics
Variables and Types of Data
Data Collection and Sampling Techniques
Chapter Two: Frequency distribution and graphs:
Organizing Data
Histograms
Frequency Polygons, and Ogives
Other Types of Graphs
Review and Corrections
week 11
Chapter Three: Data Description
Measures of Central Tendency
Measures of Variation
Measures of Position
week 12
Chapter four: Hypothesis Testing
Steps in Hypothesis Testing—Traditional Method
z Test for a Mean
P-Value Method for Hypothesis Testing
t Test for a Mean.
z Test for a Proportion and Additional Topics
Regarding Hypothesis Testing.
Chapter five: Correlation and Regression
Scatter Plots and Correlation
Regression
Coefficient of Determination and Standard Error of the Estimate
Multiple Regression
Review and Corrections
week 13
Chapter six: Other Chi-Square Tests
Test for Goodness of Fit
Test of Normality (Optional)
Tests Using Contingency Tables
Test for Independence
Test for Homogeneity of Proportions
Chapter seven: Sampling and Simulation
Common Sampling Techniques
Surveys and Questionnaire Design

Writing & Publishing Articles

Week 14
Section one: WRITING MANUSCRIPTS AND PUBLICATION
Chapter one: Course Overview
 Reasons for Publishing
 Timeline for Publishing
 Preparing the Manuscript
 Searching for the Right Journal
 Submitting the Manuscript
 Writing a Response to the Reviewer’s Report
Section Two: Searching for the Right Journal
Chapter Two: Journal Indexing
week 15
Section Three: Preparing the Manuscript
Chapter one: Choosing the research Topic.
Chapter Two: Writing Article introduction
Chapter Three: Literature Review
Chapter Four: Hypotheses Development and Framework.
Chapter Five: Methodology & Data Collection
Chapter Six: Results and Discussions
Chapter Seven: Conclusions
Chapter eight: References
week 16
Section Three: Summiting the Article
Chapter Nine: Submitting the Manuscript
Chapter Ten: Writing a Response to the Reviewer’s Report

Total

16 weeks	48 days	96 hours