Agricultural Statistics and Experimental Design Training Course

Agricultural Statistics and Experimental Design Training Course

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Agricultural Statistics and Experimental Design Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview

This course equips participants with practical statistical skills for planning, conducting, analyzing, and interpreting agricultural experiments and surveys. The course focuses on experimental layouts, sampling techniques, statistical analysis, and interpretation of agricultural data to support evidence-based decision-making. Participants will learn how to design reliable trials, reduce bias, and produce scientifically sound conclusions for agricultural research and development programs.

Course Duration

5 Days

Target Audience

  • Agricultural Researchers and Scientists

  • Extension Officers and Agronomists

  • Crop and Livestock Specialists

  • Monitoring and Evaluation Officers

  • Data Analysts in Agriculture and Rural Development

  • University and Research Institution Staff

  • NGO and Development Project Officers in Agriculture

Personal Impact

  • Improved ability to design valid agricultural experiments

  • Enhanced competence in statistical data analysis and interpretation

  • Increased confidence in using statistical software tools

  • Stronger skills in sampling and survey design

  • Better understanding of evidence-based agricultural decision-making

Organizational Impact

  • Improved reliability of research findings and reports

  • Better agricultural project monitoring and evaluation

  • Enhanced data-driven policy and planning decisions

  • Reduced research errors and bias in experiments

  • Improved productivity recommendations for farmers

Course Objectives

By the end of this training, participants will be able to:

  • Apply statistical concepts in agricultural research

  • Design appropriate experimental layouts for field trials

  • Conduct sampling and agricultural surveys correctly

  • Analyze agricultural data using statistical methods

  • Interpret results for agronomic decision-making

  • Reduce experimental errors and biases

  • Present statistical findings in professional reports

  • Support research and extension programs with accurate data

02

Course Modules

Course Outline

Module 1: Foundations of Agricultural Statistics

  • Role of statistics in agricultural research

  • Types of agricultural data

  • Measures of central tendency and variability

  • Probability concepts and distributions

  • Practical Exercise: Descriptive statistics using agricultural datasets

Module 2: Sampling Techniques and Survey Design

  • Sampling methods in agriculture

  • Determining sample size

  • Designing questionnaires and surveys

  • Reducing sampling bias

  • Case Study: Designing a farm household survey

Module 3: Experimental Design in Agriculture

  • Principles of experimental design

  • Completely Randomized Design (CRD)

  • Randomized Complete Block Design (RCBD)

  • Factorial experiments and split-plot design

  • Field Layout Exercise: Planning a crop trial

Module 4: Data Analysis and Interpretation

  • Analysis of variance (ANOVA)

  • Mean comparison tests (LSD, Tukey)

  • Regression and correlation analysis

  • Using statistical software for analysis

  • Workshop: Analyzing experimental data

Module 5: Reporting and Decision-Making

  • Interpreting statistical results for recommendations

  • Preparing research reports and graphs

  • Translating data into extension advice

  • Common errors in agricultural data analysis

  • Capstone Exercise: Complete experimental analysis report

03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2026 Schedules
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16 Nov - 20 Nov
KES 99,000 |
$1,500
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Pretoria
Cape Town
Johannesberg
Zanzibar
Arusha
Kisumu
Dubai
Mombasa
Nairobi
Nakuru
Machakos
Naivasha
Kampala