Basic Course on Sampling Methods for Agricultural Census and Surveys
05/07/2015-09/07/2015 Dhaka, Bangladesh
Objective
The Basic Course on Sampling Methods for Agricultural Census and Surveys was organized in Dhaka, Bangladesh from 5 – 9 July 2015 by FAO in collaboration between the Bangladesh Bureau of Statistics (BBS) to build the capacity of national institutions for improving agriculture statistics of the country.
The course brought together more than 40 participants from over ten government agencies involved in collection and dissemination of agricultural and rural statistics in the country, and trained them on the concepts and methodologies utilized in designing agricultural census(es) and surveys.
The course was first in the series of planned capacity building events to help the county develop an integrated plan for census and surveys on crops, livestock, and fisheries which are crucial for food security in the country.
This course will provide the foundation for the next training on Planning and Management of Surveys which will be followed by a National Workshop to Establish a Survey Calendar for Agricultural and Rural Sector. A synergized survey calendar will be the main element of the national Strategic Plan for Agricultural and Rural Statistics (SPARS) to be prepared under Global Strategy to Improve Agricultural and Rural Statistics.
Presentations
- B1. Introduction to data, information, variables, parameters and measures of central tendency, introduction to dispersion
- B2. Counting Techniques and Basics of Probability & probability distribution
- B3. Measurement of dispersion, data distribution and Normal Distribution , Basics of Inference
- B4. Practical Exercise. Hand-on Data base , Use of formula on MS Exel to calculate population parameters
- C1. Sampling – Basic Concepts: Sampling vs census, Sampling elements (sampling units , Frame, concept of unbiasedness)
- C2. Classical sampling techniques: SRSWR, SRSWOR, Cluster Sampling, Stratified Sampling, Systematic Sampling estimation of mean and proportion and sampling variance
- C3. Practical Exercise. Sample Selection by SRSWOR, Stratification, clustering
- C4. Stratification, cluster formation and multi-stage sampling – Implication on efficiency, determination of sample size, workload.
- C5. Practical exercise: Estimate of parameters using different designs
- C6. Presentation and discussion of result
- C7. Basics of Sampling Frame and Ratio Estimates - Data collection Methods and Non-Sampling Errors
Reference Material for Basic Course