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AGR501Agricultural Sciences3 Unitsintermediate

Statistics And Research Methodology

This course introduces students to the fundamental principles of research methodology and statistical analysis in Agricultural Science. It covers defining research problems, hypothesis testing, research design, data collection methods, and statistical theories. Students will learn to prepare questionnaires, analyze data using various statistical methods, and present research findings in tabular and graphical forms. The course aims to equip students with the skills to conduct novel research and apply statistical methodologies in agricultural contexts.

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300h

Study Time

13

Weeks

23h

Per Week

intermediate

Math Level

Course Keywords

Research MethodologyStatistical AnalysisExperimental DesignHypothesis TestingData Collection

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 Problem Definition

2

Hypothesis Testing

3

Research Design Principles

4

Data Collection Methods

5

Statistical Theory

6

Statistical Methods

7

Data Presentation

Total Topics7 topics

Requirements

Knowledge and skills recommended for success

Basic Statistics

Introduction to Agricultural Science

💡 Don't have all requirements? Don't worry! Many students successfully complete this course with basic preparation and dedication.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assignments

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 Researcher

Apply your skills in this growing field

Animal Scientist

Apply your skills in this growing field

Crop Scientist

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Research Consultant

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

Agricultural Research InstitutesAnimal Production CompaniesCrop Production CompaniesGovernment Agricultural AgenciesConsulting Firms

Study Schedule Beta

A structured 13-week journey through the course content

Week

1

Module 1: Definition of Research Problem and its Necessities

4h

Unit 1: Research Problem and Selecting the Problem

2 study hours

•Define research problem and identify its components.
•Discuss the characteristics of a research problem.
•Outline the procedures for selecting a research problem.

Unit 2: Research Hypothesis

2 study hours

•Define the concept of hypothesis testing.
•Differentiate between null and alternate hypotheses.
•Understand Type I and Type II errors.

Week

2

Module 1: Definition of Research Problem and its Necessities

4h

Unit 3: Procedure for Hypothesis Testing

2 study hours

•Explain the procedure for hypothesis testing.
•Learn to select a significance level.
•Decide on the appropriate distribution to use.

Unit 4: Advantages and Limitations of Hypothesis Testing

2 study hours

•Discuss the advantages of hypothesis testing.
•Understand the limitations of hypothesis testing.
•Learn to set a criterion for acceptance or rejection.

Week

3

Module 2: Principles of Research Design

4h

Unit 1: Meaning of Research Design

2 study hours

•Explain the meaning of research design.
•Discuss the types of research design.
•Understand the need for research design.

Unit 2: Concept Relating to Research Design

2 study hours

•Explain the concepts of dependent and independent variables.
•Understand extraneous variables and control.
•Define research hypothesis and treatment.

Week

4

Module 2: Principles of Research Design

4h

Unit 3: Basic principles of Experimental Design

2 study hours

•State the principles of experimental design.
•Differentiate between formal and informal experimental design.
•Understand replication, randomization, and local control.

Unit 4: Criteria for Defining a Problem

2 study hours

•Set out the criteria for defining a research problem.
•Explain the sources of research problems.
•Differentiate between limitation and delimitation.

Week

5

Module 3: Questionnaire Preparation and Collection of Data

4h

Unit 1: Collection of Primary Data

2 study hours

•Determine the methods of primary data collection.
•State the procedures of data collection through questionnaires.
•Discuss the advantages and disadvantages of observation and interview methods.

Unit 2: Collection of Secondary Data

2 study hours

•Highlight the characteristics of secondary data.
•Identify sources of secondary data.
•Understand the reliability, suitability, and adequacy of secondary data.

Week

6

Module 4: Measurement and Evaluation

4h

Unit 3: Guidelines for Constructing Questionnaire

2 study hours

•Construct the steps in questionnaire formulation.
•Understand the process of questionnaire design.
•Learn to formulate effective questions.

Unit 1: Measurement in Research and in Scale

2 study hours

•Explain the concept of measurement.
•Explain measurement scales as related to agricultural design.
•List various types of measurement scales.

Week

7

Module 4: Measurement and Evaluation

4h

Unit 2: Sources of Error in Measurement

2 study hours

•Determine the major sources of error in agricultural research.
•Know the various techniques in development of measurement tools.
•Learn to minimize errors in measurement.

Unit 3: Data Collection Techniques

2 study hours

•Clearly state why, how, and when we need to collect data.
•Understand the reasons for data collection.
•Learn about primary and secondary data sources.

Week

8

Module 5: Statistical Theory

4h

Unit 1: Sampling Fundamentals in Agricultural Research

2 study hours

•State the importance of sampling.
•Explain some fundamental definitions of population parameters.
•Understand the need for sampling in agricultural research.

Unit 2: Sampling Distribution

2 study hours

•Discuss the application of different sampling distributions.
•Understand the importance of sampling distributions.
•Learn about sampling distribution of mean and proportion.

Week

9

Module 6: Statistical Methods

4h

Unit 3: Central Limit and Sampling Theory

2 study hours

•Delineate between sampling and central limit theorem.
•List and explain different types of sampling distribution.
•Understand the concept of standard error.

Unit 1: Guidelines and Explanations of Statistical Methods

2 study hours

•Discuss the characteristics of different statistical methods.
•Explain guidelines for the application of different statistical methods.
•Understand the basic procedures of statistical methods.

Week

10

Module 6: Statistical Methods

4h

Unit 2: Approaches to Data Compilations and Analysis

2 study hours

•Screen and clean data before analysis.
•Choose the right statistical tool and computer program for data analysis.
•Understand data computation and analysis techniques.

Unit 3: Computational Techniques of Experimental Design

2 study hours

•Explain the mathematical steps involved in the calculation of t-test.
•Understand analysis of variance (f-test), change over design, factorial, and nested design.
•Learn computational techniques for experimental designs.

Week

11

Module 7: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

4h

Unit 1: Results Presentation through Tabular Form

2 study hours

•Differentiate between table types.
•Itemize the guidelines for construction of tables.
•Understand the advantages and disadvantages of tabular presentation.

Unit 2: Results Presentation through Graphical Form

2 study hours

•Present data using figures.
•Determine the features of different graphs.
•Understand graphical or diagrammatical representation of data.

Week

12

Module 7: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

8h

Unit 1: Results Presentation through Tabular Form

4 study hours

•Review all modules and units.
•Work on assignments and TMAs.
•Prepare for final examination.

Unit 2: Results Presentation through Graphical Form

4 study hours

•Review all modules and units.
•Work on assignments and TMAs.
•Prepare for final examination.

Week

13

Module 7: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

12h

Unit 1: Results Presentation through Tabular Form

6 study hours

•Final Revision
•Complete any pending assignments
•Focus on areas of weakness

Unit 2: Results Presentation through Graphical Form

6 study hours

•Final Revision
•Complete any pending assignments
•Focus on areas of weakness

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 study units and focus on key concepts and definitions.

2

Practice solving numerical problems from the examples in the units.

3

Create concept maps linking different modules and units.

4

Pay special attention to hypothesis testing procedures and statistical methods.

5

Practice data presentation techniques using different types of tables and graphs.

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