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ENGAGEMENT OF CONSULTANT FOR THE TRAINING OF STAFF ON INFERENTIAL ANALYSIS

REQUEST FOR PROPOSAL
ENGAGEMENT OF CONSULTANT FOR THE TRAINING OF STAFF ON INFERENTIAL ANALYSIS
11th November, 2025
A. Preamble
Data influences strategic and operational decisions by providing relevant information to accurately interpret, analyze data and draw meaningful conclusions, for informed decision-making. Statistical inferential analysis enables individuals to make evidence-based decisions by estimating population parameters, testing hypotheses, and assessing relationships between variables. Many individuals lack formal training in these techniques, which limits their ability to leverage data effectively, hinder decisions and findings, reliance on intuition or incomplete analyses, increasing the risk of errors and leading to missed opportunities for data-driven insights. This training program aims to equip individuals with the skills to apply statistical inferential methods in their work, enhancing organizational efficiency and decision quality.
Training ensures individuals to make defensible, data-driven decisions, reducing costly mistakes and improving outcomes. Without trained individuals, organizations may depend on external consultants, increasing costs and delaying decisions. Equipping individuals with inferential skills ensures in-house capacity to meet these demands efficiently and cost-effectively.
JUSTIFICATION
The statistical inferential analysis training program is a strategic investment in the organization’s future. By addressing skill gaps, enhancing decision-making, and aligning with industry trends, the training will empower staff to unlock the full potential of data. The benefits which are, improved efficiency, cost savings, and a data-driven culture, far outweigh the modest costs and time commitment. Implementing this program will position the organization as a leader in evidence-based innovation, ensuring long-term success in a data-driven world.
B. Pre-qualification requirement
To qualify for consideration, interested consultants are required to submit CVs including the underlisted documents below:
- Cover Letter (Sign) – Unsigned cover Letter shall be automatically disqualified
- Recent copy of CV
- Copies of all qualifications certificate
- Relevant experiences and supporting documents
- Consultant profile
- Kindly fill the Technical and Financial Forms below.
TERMS OF REFERENCE (TOR)
FACILITATOR FOR TRAINING OF STAFF ON INFERENTIAL STATISTICAL ANALYSIS
BACKGROUND
Data influences strategic and operational decisions by providing relevant information to accurately interpret, analyze data and draw meaningful conclusions, for informed decision-making. Statistical inferential analysis enables individuals to make evidence-based decisions by estimating population parameters, testing hypotheses, and assessing relationships between variables. Many individuals lack formal training in these techniques, which limits their ability to leverage data effectively, hinder decisions and findings, reliance on intuition or incomplete analyses, increasing the risk of errors and leading to missed opportunities for data-driven insights. This training program aims to equip individuals with the skills to apply statistical inferential methods in their work, enhancing organizational efficiency and decision quality. Training ensures individuals to make defensible, data-driven decisions, reducing costly mistakes and improving outcomes. Without trained individuals, organizations may depend on external consultants, increasing costs and delaying decisions. Equipping individuals with inferential skills ensures in-house capacity to meet these demands efficiently and cost-effectively.
JUSTIFICATION
The statistical inferential analysis training program is a strategic investment in the organization’s future. By addressing skill gaps, enhancing decision-making, and aligning with industry trends, the training will empower staff to unlock the full potential of data. The benefits which are, improved efficiency, cost savings, and a data-driven culture, far outweigh the modest costs and time commitment. Implementing this program will position the organization as a leader in evidence-based innovation, ensuring long-term success in a data-driven world.
SPECIFIC OBJECTIVES
The primary objective of this Statistical Inferential training is to position the organization as a leader in evidence-based innovation, ensuring long-term success in a data-driven world. Specific Objectives includes:
- Build Foundational Knowledge: Provide staff with a clear understanding of statistical inferential concepts, including hypothesis testing, confidence intervals, and p-values.
- Develop Practical Skills: Enable participants to apply inferential techniques using real-world datasets relevant to their roles.
- Enhance Software Proficiency: Train staff to use statistical software (e.g., R, Python, or SPSS) for conducting inferential analyses.
- Foster Data-Driven Culture: Encourage the integration of statistical reasoning into daily workflows and decision-making processes.
- Ensure Accessibility: Design the training to accommodate varying levels of prior statistical knowledge.
SCOPE OF WORK
This training will be conducted for NACA Staff for a duration of 5 days in Nasarawa State. The facilitator will provide specialized expertise in statistical inference to support data-driven decision-making, design and implement robust statistical methodologies for data analysis, conduct inferential statistical analyses to test hypotheses and estimate parameters, interpret results and provide clear, actionable insights for staff, ensure the validity and reliability of statistical findings through rigorous quality control, support the development of reports, presentations based on statistical outcomes. The facilitator will be responsible for:
- Developing and submitting a detailed training agenda and curriculum tailored to the specific needs of NACA staff.
- Delivering theoretical and practical sessions on the following key areas:
- Introduction to inferential statistics
- Hypothesis testing
- Confidence intervals
- t-tests (independent and paired)
- Analysis of variance (ANOVA)
- Chi-square tests
- Correlation and linear regression
3. Demonstrating data analysis using statistical software (e.g., SPSS, Stata, R, or Python).
4. Providing hands-on exercises and real-life datasets for practical sessions.
5. Conducting a pre- and post-training assessment to evaluate knowledge gain.
6. Providing guidance on interpretation of statistical outputs for publication and reporting.
7. Preparing and submitting a comprehensive training report.
5.0 EXPECTED DELIVERABLES
- Detailed training agenda and materials (slides, datasets, and exercises).
- Facilitation of a five-day training workshop.
- Pre- and post-training assessments and summary of results.
- Final training report including key lessons, participant feedback, and recommendations.
- Certificates of completion for participants.
DURATION OF CONSULTANCY
One (1) facilitator will be engaged to deliver the training. The facilitator MUST be resident in Abuja or in a nearby town with easy access to Abuja, to ensure availability and minimize logistical constraints. The training will last for five (5) consecutive working days, and the facilitator is expected to be physically present and fully available for the entire duration of the assignment, including all preparatory and post-training activities as may be required.
QUALIFICATIONS AND SKILLS OF FACILITATOR:
The facilitator should possess the following qualifications:
- A first degree in Statistics, Computer Science, Biostatistics, Epidemiology, Public Health, or related field.
- Minimum of 5 years’ experience in data analysis, research, and statistical training delivery.
- Demonstrated proficiency in at least one statistical software (SPSS, Stata, R, or Python).
- Experience conducting similar trainings for public health or development organizations.
- Excellent facilitation, communication, and interpersonal skills.
REPORTING AND SUPERVISION
The consultant will report to the Head of the Research and Publication Division under the supervision of the Director, Research Monitoring and Evaluation Department, NACA. All training content and deliverables must be submitted to and approved by the division.
Certification
Award certificates of completion to participants who meet training requirements, reinforcing professional development
GUIDELINE FOR SUBMISSION AND OPENING OF CVS
The detailed CV must be in English Language and submitted in two (2) hard copies one original & one copy) of the requested CV. The two copies shall then be enclosed and sealed in one (1) single outer envelope and clearly marked at the topmost right corner “Training of Staff on Inferential Statistical Analysis” and the Name, Address, Email and Phone Number of the Consultant boldly written at the back of the envelope, with acknowledgement to NACA office at the address below.
- Deadline for Submission: The deadline for the submission of proposal should not be later than Tuesday, 18th November, 2025 by 12 noon. The submission(s) received will be opened immediately after closing at NACA Conference Room in the presence of consultants that choose to attend.
- Kindly fill the Technical and Financial Forms below.
ADDRESS FOR INFORMATION AND SUBMISSION OF CVs
Attention:
Head Procurement
National Agency for the Control of AIDS (NACA)
Ground Floor Room 1.0
No. 3 Zinguinchor Street, Beside AEDC Office, Wuse zone 4, Abuja
Annex A
Cost Estimate of Services
(1) Remuneration
Rate /day Number of Days Total (currency)
in (currency)
(2) Reimbursables
Rate Units/Days Total
(a) (International)
(Local)
Travel + Taxi
(b) Local Transportation
(c) Communications
(d) Hotel Accommodation
Sub-total (2)
TOTAL COST
Physical Contingency (10%)
CONTRACT CEILING ……………….
Annex B
Activity Schedule
Activity (Work) periods
1st 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th
Annex C
Consultants Reporting Requirements
Reports Date
- Inception Report
- Progress Reports
- First Progress Report
- Second Progress Report, etc
- Draft Final Report
- Final Report
Scoring Criteria
Evaluation Criteria | MAX. POINTS ALLOCATED | |
S/N | Experience of the Firm | |
Specific experience of the Consultant relevant to the assignment. You must have at least 5 years of similar job experience: | ||
1 | A first degree in Statistics, Computer Science, Biostatistics, Epidemiology, Public Health, or related field. | 25 |
2 | Minimum of 5 years’ experience in data analysis, research, and statistical training delivery. | 35 |
3 | Demonstrated proficiency in at least one statistical software (SPSS, Stata, R, or Python). | 10 |
4 | Final training report including key lessons, participant feedback, and recommendations. | 20 |
5 | Excellent facilitation, communication, and interpersonal skills. | 10 |
GRAND-TOTAL | 100 | |
NOTES/DISCLAIMER
- Late submissions will not be accepted.
- NACA shall verify any or all documents and claims made by applicants and will disqualify consultants with falsified documents and claims.
- If it is determined that submitted documents and claims have been falsified, the consultant may face prosecution in a court of Law.
- NACA shall not be held responsible for any disqualified proposal as a result of any omission or deletion relating to the submission guidelines.
- This advertisement shall not be construe a contract to any Consultant, nor shall it entitle any Consultant submitting documents to claim any indemnity from NACA.
- NACA is not bound to shortlist any Consultant, and reserves the right to annul the bidding process at any time without incurring any liabilities or providing reason.
Signed
Management.