Productivity of Kenyan Farming Operations

1. It is hypothesized that maize output will not vary in relation to the gender of farm management.

2. It is hypothesized that bean output will not vary in relation to the gender of farm management.

3. It is hypothesized that total output (maize plus bean) will not vary in relation to the gender of farm management.

The results of the hypothesis testing are presented separately for each hypothesis. Hypotheses were tested through the application of analysis of variance procedures. A probability estimate of p<.01 was used as the criterion for the rejection of the null, which, in this study, meant a rejection of the hypothesis tested. Ordinary least squares models were employed to generate covariance estimates and correlations of these estimates.Hypothesis Number One

Hypothesis number one held that maize output would not vary in relation to the gender of farm management. The ordinary least

squares regression equation for the testing of this hypothesis was as follows:

Maize Output = Constant + Female Management + Male Management + Joint Management + Farm Size + Mai

. . .
= 0.7, Manure Used =  4.6, Chemical Fertilizers Used = 0.5, and Other Chemicals Used = 16.4. The results of the analysis of variance indicated that farm size and managerial gender had the greatest effects on total output. Larger farm size, as might be expected, correlated with higher output levels. With respect to managerial gender, male farm management had the greatest positive impact on total output, while joint farm management (female and male) also had a positive impact on total output. Female farm management was correlated with lower total output. The hypothesis held that total output would not vary in relation to the gender of farm management. In fact, total output did vary according to managerial gender. The null effect was, thus, rejected. As the hypothesis was stated in the null form, it could not be accepted, and, thus by inference, was rejected on the basis of testing by the first least squares model. As indicated at the beginning of the report of results of the testing of hypothesis number three, a second least squares model was also used to test the hypothesis. The ordinary least squares regression equation for the second testing of this hypothesis was as
. . .

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Approximate Word count = 3037
Approximate Pages = 12 (250 words per page)

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