8% of items in a shipment are known to be defective. if a sample of 5 items is randomly selected from this shipment, what is the probability that at least one defective item will be observed in this sample? round your result to 2 significant places after the decimal (for example, 0.86732 should be entered as 0.87).

0.34

Step-by-step explanation:

Given : The proportion of  items in a shipment are known to be defective : p=0.08

Number of items selected = 5

By using binomial probability distribution formula,  the probability of getting success in x trials is given by :-

Now, the probability that at least one defective item will be observed in this sample will be :-

Hence, the probability that at least one defective item will be observed in this sample is 0.34

an advantage of the standard deviation is that it increases as the dispersion of the data increases. e. the interquartile range is preferred when the data are not skewed or no have outliers. an advantage of the standard deviation is that it uses all the observations in its computation.

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step-by-step explanation: