Statistical modelling/Results of data exploration

Surveys often need less formal statistical analysis than experiments. Tables can often be compiled from the frequency tables calculated during the exploratory phase and presented without further analysis. It is only when one is unsure whether an observed differences is real or not that some statistical verification may be important. This may result in the use of simple t- or Chi-square tests or sometimes, where the data warrant it, in more complicated analysis of variance or logistic regression techniques. So far, under data exploration, we have discovered the following:

4. Ownership of cattle mainly rested with the head of the homestead especially when the head was male. Female heads appeared more willing to share cattle ownership with other members of the homestead than their male counterparts. This, however, needs to be statistically tested.

5. The numbers of homesteads involved in the different activities varied with few involved in the manufacture and selling of dairy products.

6. Adult males were mainly involved in the purchasing, selling, breeding and in the care of the health of cattle. Adult females were mainly involved in manufacturing and selling of dairy products. Boys and hired labour were mainly involved in herding and milking cattle, while girls participated little in the cattle activities.