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Answer #1

Question (a)

It is a binomial experiment because

1) Customers buying magazines take decisions independent of each other because a customer buying magazine does not effect the decision of another cstomer buying a magazine

So the trials are independent

2) There are only two outcomes here. Customer buying a magazine or not buying a magazine

So there are only two outcomes

3) The probability of each customer buying a magazine is 0.09 and it remains the same for all the customers

4) There will be a finite number of customers so the number of trials are fixed

Question (b)

We need to find the probability that exactly 5 out of the first 10 customers buy a magazine

Given that the probability a customer buys a magazine = 9% or 0.09

The number of successes x in n trails in binomial distribution = 1591449772349_blob.png * px * (1-p)n-x

= n! / [ x! (n-x)! ] * px * (1-p)n-x

Here p = 0.09, n = 10, x = 5

So probability that exactly 5 out of the first 10 customers buy a magazine = \binom{10}{5} * 0.095 * (1 - 0.09)10-5

= 10! / [ 5! (10-5)! ] * 0.0000059 * (0.91)5

= 252 * 0.0000059 * 0.624032

= 0.000928528

= 0.00 rounded to two decimal digits

So probability that exactly 5 out of the first 10 customers buy a magazine = 0.00 rounded to two decimal places

The probability without rounding is 0.000928528

Question (c)

The expected number of customer from this sample that will buy the magazine

Expected value or Mean of a binomial distribution = n * p

Here n = 10 , p = 0.09

The expected number of customer from this sample that will buy the magazine = 10 * 0.09

= 0.9

So The expected number of customer from this sample that will buy the magazine = 0.9

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