An inspector correctly identifies defective products 90% of the time. FOr the next 10 products, what is the probability that he makes fewer than 2 incorrect inspections? Round your answer to three ...
An automotive center keeps track of customer complaints received each week. The probability distribtuion for complaints can be represented as a table or a graph, both shown below. The random variable xi represents the number of complaints, and p(xi) is the probability of receiving xi complaints.
xi 0 1 2 3 4 5 6
p(xi) .10 .15 .18 .29 .20 .10 .10
That's not an answer, it looks like the beginning of a different problem.