Data discrepancy: a key challenge to monitoring MDGs in Africa
Tuesday, February 16th, 2010Data discrepancy is a situation whereby different data collection methods about the same indicator for the same period of time produce statistically different data points. By statistically different, it is meant that although the sampling errors are indicated for the different data points, the data still remains different. It worth noting that differences in the […]
Ronald Wesonga is a Statistician and a Specialist in Statistical Computing. Over the last decade, he has developed vast experience in data management...