In: Statistics and Probability
A company receives shipments of a component used in the manufacture of a component for a high-end acoustic speaker system. When the components arrive, the company selects a random sample from the shipment and subjects the selected components to a rigorous set of tests to determine if the components in the shipments conform to their specifications. From a recent large shipment, a random sample of 250 of the components was tested, and 24 units failed one or more of the tests. At the 98% level of confidence, what is the margin of error in the point estimate of the proportion of components in the shipment that fail to meet the company's specifications?
Solution :
Given that,
n = 250
x = 24
Point estimate = sample proportion = = x / n = 24 / 250 = 0.096
1 - = 1 - 0.096 = 0.904
At 98% confidence level
= 1 - 98%
=1 - 0.98 =0.02
/2
= 0.01
Z/2
= Z0.01 = 2.326
Margin of error = E = Z / 2 * (( * (1 - )) / n)
Margin of error = E = 2.326 (((0.096 * 0.904) / 250 )
Margin of error = E = 0.043