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This paper attempts to respond to a call to find an ontological basis for establishing African legal theory. The African world of my choice is the Igbo world of South-east Nigeria. It is a world I want to examine to see how its material and theoretical structures help articulate a philosophy of law in terms of projecting a consistent understanding of law subjects and the foundations of their rights. The article builds on the contributions of F. U. Okafor and his many African critics.
Effect of different chemicals and additives used in producing
polyester foam was investigated. Reference samples were produced from polyol,
toluene di isocyanate (TDI), amine stannous octoate distil water, and silicone
oil using laboratory mix formulation based on 500 g
polyether based polyol. Other samples were produced by consecutively
varying the content of all the additives with the exception of polyol. Standard
sample dimensions for density test, indentation test, compression set test,
tensile strength and elongation tests were produced from the samples. The
various tests were carried out on the samples using the ASTM-D3574 standards.
It was observed that the degree of indentation affects the value of indentation
hardness and increasing the percentage content of TDI results in acceptable
compression set value for the polyester samples. It was concluded that Holding
all other parameters constant, reducing the water content and increasing the
TDI content will yield polyester foam of optimum properties.
This paper investigates the tolerable sample size needed for Ordinary
Least Square (OLS) Estimator to be used when there is presence of Multicollinearity
among the exogenous variables of a linear regression model. A regression model
with constant term (β0)
and two independent variables (with β1 and β2 as their respective
regression coefficients) that exhibit multicollinearity was considered. A Monte
Carlo study of 1000 trials was conducted at eight levels of multicollinearity
(0, 0.25, 0.5, 0.7, 0.75, 0.8, 0.9 and 0.99) and sample sizes (10, 20, 40, 80,
100, 150, 250 and 500). At each specification, the true regression coefficients
were set at unity while 1.5, 2.0 and 2.5 were taken as the hypothesized value.
The power value rate was obtained at every multicollinearity level for the
aforementioned sample sizes. Therefore, whether the hypothesized values highly
depart from the true values or not once the multicollinearity level is very
high (i.e. 0.99), the sample size
needed to work with in order to have an error free estimation or the inference
result must be greater than five hundred.