A manufacturer of computer monitors estimates that 4 percent of all the monitors manufactured have a screen defect. Let pd represent the population proportion of all monitors manufactured that have a screen defect. For the sampling distribution of the sample proportion for samples of size 100, μPˆd=0.04. Which of the following is the best interpretation of μPˆd=0.04?

For a randomly selected screen monitor, the probability that the selected monitor will have a screen defect is 0.04.

Explanation:

μPˆd = 0.04

n = 100

mean = 0.04 multiply with 100 = 4

A mean is the basic scientific normal of a lot of at least two numbers. The mean for a given arrangement of numbers can be figured in more than one way, including the number-crunching mean strategy, which utilizes the whole of the numbers in the arrangement, and the geometric mean technique, which is the normal of a lot of items. In any case, the entirety of the essential strategies for processing a straightforward normal produces the equivalent inexact outcome more often than not.

The mean is the numerical normal of a lot of at least two numbers. The math mean and the geometric mean is two sorts of implications that can be determined. Adding the numbers in a set and separating by the absolute number gives you the number-crunching mean. The geometric mean is progressively convoluted and includes duplication of the numbers taking the nth root.