Question

In: Statistics and Probability

Suppose the likelihood that someone who logs onto a particular site in a "shopping mall" on...

Suppose the likelihood that someone who logs onto a particular site in a "shopping mall" on the Internet will purchase an item is 0.10. If the site has 200 people accessing it in the next day, what is the probability that less than 24 customers will make a purchase?

A. 0.5

B. 0.1736

C. 0.8264

D. 0.2561

Solutions

Expert Solution

Solution:

Given: Suppose the likelihood that someone who logs onto a particular site in a "shopping mall" on the Internet will purchase an item is 0.10. That is: p = 0.10

n = sample size = 200

We have to find: the probability that less than 24 customers will make a purchase.

P( X < 24) =.......?

Since sample size n = 200 is large, we use Normal approximation to Binomial.

Mean :

Standard Deviation :

Thus find z score:

Thus we get:

P( X < 24) =P( Z< 0.94)

Look in z table for z = 0.9 and 0.04 and find area.

P( Z< 0.94)= 0.8264

Thus

P( X < 24) =P( Z< 0.94)

P( X < 24) = 0.8264


Related Solutions

1) The proportion of people at shopping mall who wear red shirts is p = 0.18....
1) The proportion of people at shopping mall who wear red shirts is p = 0.18. What is the mean of the sampling distribution given a sample size of 50? What is the standard deviation? (Central Limit Throrem). 2) What is the probability given a random sample of 50 people at shopping mall that more than 20% of them are wearing red shirts? 3) CONF. INT Suppose you take a random sample of 50 people at shopping mall and find...
Suppose that the number of drivers who travel between a particular origin and destination during a...
Suppose that the number of drivers who travel between a particular origin and destination during a designated time period has a Poisson distribution with parameter = 20 (suggested in the article "Dynamic Ride Sharing: Theory and Practice"). (Round your answer to three decimal places.) (a) What is the probability that the number of drivers will be at most 152 (b) What is the probability that the number of drivers will exceed 297 (c) What is the probability that the number of drivers will...
Suppose that the number of drivers who travel between a particular origin and destination during a...
Suppose that the number of drivers who travel between a particular origin and destination during a designated time period has a Poisson distribution with parameter μ = 20 (suggested in the article "Dynamic Ride Sharing: Theory and Practice"†). (Round your answer to three decimal places.) (a) What is the probability that the number of drivers will be at most 13? (b) What is the probability that the number of drivers will exceed 26? (c) What is the probability that the...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT