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I need answer for example 1 .
the probabilities of occurrence of these events are, respectively, p and (1-p). Let X denotes the number of successes. Here X can take the values 0 or 1. X is said to have a Bernoulli distribution. Definition: random variables X is said to have a Bernoulli distribution and is referred to as a Bernoulli random variable, if and only if its probability distribution is given by P(X = x) = p4 for x 0, 1 In the context of the Bernoulli distribution, a success may refer to getting heads in a coin tossing experiment or it may refer to passing an examination. We refer to an experiment in which the Bernoulli distribution applies as a Bernoulli trial, or simply a trial, and to sequences of such experiments as repeated trials. Example 1 Hi-Tech computer shop sells laptop computers and desktop computers. The probability for a customer to buy a laptop computer is 0.7. Find the probability that (a) the next customer buys a desktop computer (b) the next customer buys a laptop computer.
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Answer #1

1:

It is given that

P(laptop) 0.7

(a)

By the complement rule, the probability that next customer will buy a desktop is

P(desktop) = 1-Plaptop) = 1-07 = 0.3

(b)

P(laptop) 0.7

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