After constructing a new manufacturing machine, 5 prototype integrated circuit chips are produced and it is found that 1 are defective (A) and 4 are acceptable (D). Assume that two of the chips are randomly selected with replacement from this population.i. After identifying the 25 different possible samples, find the proportion of circuits that are defective in each of them, then use a table to describe the sampling distribution. ii. Find the mean of the sampling distribution.iii. Is the mean of the sampling distribution equal to the population proportion of defects? iv. Does the mean of the sampling distribution of proportions always equal the population proportion?
Compound Probability
Compound probability can be defined as the probability of the two events which are independent. It can be defined as the multiplication of the probability of two events that are not dependent.
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Probability theory is a branch of mathematics that deals with the subject of probability. Although there are many different concepts of probability, probability theory expresses the definition mathematically through a series of axioms. Usually, these axioms express probability in terms of a probability space, which assigns a measure with values ranging from 0 to 1 to a set of outcomes known as the sample space. An event is a subset of these outcomes that is described.
Conditional Probability
By definition, the term probability is expressed as a part of mathematics where the chance of an event that may either occur or not is evaluated and expressed in numerical terms. The range of the value within which probability can be expressed is between 0 and 1. The higher the chance of an event occurring, the closer is its value to be 1. If the probability of an event is 1, it means that the event will happen under all considered circumstances. Similarly, if the probability is exactly 0, then no matter the situation, the event will never occur.
After constructing a new manufacturing machine, 5 prototype integrated circuit chips are produced and it is found that 1 are defective (A) and 4 are acceptable (D). Assume that two of the chips are randomly selected with replacement from this population.
i. After identifying the 25 different possible samples, find the proportion of circuits that are defective in each of them, then use a table to describe the sampling distribution.
ii. Find the
iii. Is the mean of the sampling distribution equal to the population proportion of defects?
iv. Does the mean of the sampling distribution of proportions always equal the population proportion?
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