An e-commerce website claims that 2% of people who visit the site make a purchas
ID: 2962281 • Letter: A
Question
An e-commerce website claims that 2% of people who visit the site make a purchase. Complete parts a through d below based on a random sample of 15 people who visited the website.
a. What is the probability that none of the people will make a purchase?
b. What is the probability that less than 3 people will make a purchase?
c. What is the probability that more than 1 person will make a purchase?
d. Suppose that out of 15 customers, 3 made a purchase. What conclusions can be drawn about the e-commerce site
Explanation / Answer
Answer a. Using the binomial formula for binomial probability, we get
P(x) = n!/(n-x)!x! * p ^ x q^ (n-x)
Here n = 15, p = 0.02
1-p = 0.98
Probability that nobody will buy is nothing but p(x ) at 0
So using the formulae we get,
(15!/ (15-0)! * 0!)* (0.02)^0 * (0.98)^(15-0)
This is roughly equal to 0.7386 (rounded up to four decimal places)
Answer b. Probability that less than three people will make a purchase is nothing but
p(x) at 0, 1, and 2
For p(x) at 0, the value is 0.7386.
Similarly, p(x) at 1 = (15!/ (15-1)! * 1!)* (0.02)^1 * (0.98)^(15-1)
Which is equal to (15!/ (14)! * 1!)* (0.02)^1 * (0.98)^(14)
On solving, you get p(x) at 1 = 0.2261
Similarly, p(x) at 2 = (15!/ (15-2)! * 2!)* (0.02)^2 * (0.98)^(15-2)
(15!/ (13)! * 2!)* (0.02)^1 * (0.98)^(13)
=0.0324
Adding them in total you get value for less than 3 customers making the purchase
P(x) less than 3 = 0.7386 + 0.2261 + 0.0324
= 0.9970
Answer c. More than 1 person makes purchase.
Rather than checking this, you can check the probability for 1 or less than 1. And subtract it from 1 (as the total probability is always 1)
P(x >1) = 1- p(x=0)+p(x=1)
From step b, p(x=0) = 0.7386 + 0.2261
= 1- 0.9647
= 0.0353
Answer d. Assuming that 3 customers make the purchase in every 15 customers.
p(x= 3) = (15!/ (15-3)! * 3!)* (0.02)^3* (0.98)^(15-3)
(15!/ (15-3)! * 3!)* (0.02)^3 * (0.98)^(12)
The total value is 0.0029
Based on the probability outputs, it is not likely that 2% customers make purchase. As the probability is too low and contradicts the assumptions of company
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