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ARD501Agricultural Sciences3 Unitsintermediate

Statistics And Research Method

This course introduces students to statistics and research methods in agricultural extension. It covers research problem identification, hypothesis development, research design, questionnaire design, and data collection methods. Students will learn to use statistical tools for data analysis and present research findings in narrative, tabular, and graphical forms. The course aims to equip students with the skills to conduct research and contribute to the development and adoption of improved technologies in agriculture.

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48h
Study Time
13
Weeks
4h
Per Week
intermediate
Math Level
Course Keywords
Research MethodsStatisticsAgricultural ExtensionData AnalysisHypothesis

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📊
Math Level
Moderate Math
🔬
Learning Type
Hands-on Practice

Course Topics

Key areas covered in this course

1

Research Problems

2

Hypothesis Development

3

Research Design

4

Questionnaire Design

5

Data Collection Methods

6

Statistical Analysis

Total Topics6 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Agricultural Extension Officer

Apply your skills in this growing field

Research Assistant

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Project Manager

Apply your skills in this growing field

Consultant

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

AgricultureRural DevelopmentGovernment AgenciesResearch InstitutionsConsulting Firms

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Research Problems and Statement of Hypothesis

2h

Unit 1: Research: Meaning, Importance and Characteristics

2 study hours
  • •Define research, its importance, and characteristics.
  • •Discuss the different types of research.
  • •Assess the type of data needed in social research.
Week
2

Module 1: Research Problems and Statement of Hypothesis

2h

Unit 2: Selection and Formulation of a Research Problem

2 study hours
  • •Define a research problem.
  • •Identify factors that determine the choice of a problem.
  • •Describe sources of research problems.
  • •Formulate and evaluate research problem.
Week
3

Module 1: Research Problems and Statement of Hypothesis

2h

Unit 3: Developing Hypothesis, Objectives and Identification of Variables

2 study hours
  • •Develop hypothesis for the research problem formulated.
  • •List the criteria for good hypothesis and type of hypothesis.
  • •Identify types of errors in research.
  • •Describe the different types of variable.
Week
4

Module 2: Research Design, Questionnaire Design and Data Collection

2h

Unit 1: Research Design

2 study hours
  • •Provide a definition and purpose of research design.
  • •Explain the different types of research designs.
Week
5

Module 2: Research Design, Questionnaire Design and Data Collection

2h

Unit 2: Questionnaire Design

2 study hours
  • •Develop questionnaire for social survey.
  • •Structure a questionnaire.
  • •Determine what it takes to pre-test questionnaire.
  • •Describe the process of administering questionnaire.
Week
6

Module 2: Research Design, Questionnaire Design and Data Collection

2h

Unit 3: Measurement and Data Collection Methods

2 study hours
  • •Find out what kind of data will be required to study the research problems.
  • •Explain the different data collection devices, their strengths and weaknesses.
Week
7

Module 3: Statistical Theory and Different Statistical Methods for Handling Data

3h

Unit 1: Sampling and Statistical Tools

3 study hours
  • •List the various sampling techniques.
  • •Explain the different statistical tools and techniques.
Week
8

Module 4: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

3h

Unit 1: Data Presentation

3 study hours
  • •Handle data for decision making.
  • •Present research finding in narrative, tabular and graphical forms.
  • •Calculate measures of central tendency and dispersion.
Week
9

Module 4: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

3h

Unit 2: Report Writing

3 study hours
  • •Appraise the method of preparing a research report.
  • •Identify the target audience sponsor of research, administrator or policy makers, academic community and to prepare the report accordingly.
  • •Provide a general framework for preparing a research report.
Week
10

Module 1: Research Problems and Statement of Hypothesis

4h

Unit 1: Research: Meaning, Importance and Characteristics

2 study hours
  • •Review Module 1 Units 1-3
  • •Practice formulating research problems and hypotheses.

Unit 2: Selection and Formulation of a Research Problem

2 study hours
  • •Review Module 1 Units 1-3
  • •Practice formulating research problems and hypotheses.
Week
11

Module 2: Research Design, Questionnaire Design and Data Collection

4h

Unit 1: Research Design

2 study hours
  • •Review Module 2 Units 1-3
  • •Design sample questionnaires.

Unit 2: Questionnaire Design

2 study hours
  • •Review Module 2 Units 1-3
  • •Design sample questionnaires.
Week
12

Module 3: Statistical Theory and Different Statistical Methods for Handling Data

4h

Unit 1: Sampling and Statistical Tools

4 study hours
  • •Review Module 3 Unit 1
  • •Practice statistical calculations.
Week
13

Module 4: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

4h

Unit 1: Data Presentation

4 study hours
  • •Review Module 4 Units 1-2
  • •Practice data presentation and report writing.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all module objectives and key terms.

2

Practice designing research questionnaires.

3

Work through examples of statistical calculations.

4

Focus on understanding different research designs and their applications.

5

Practice interpreting data presented in tables and graphs.

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