In: Statistics and Probability
Between may 3, 2009 and june 2, 2012, 56% of kickstarter pitches were unsuccessful. What is the probability that, in a random sample of 50 kickstarter projects that more than 50% would have been successful.
I need actaul steps to solve this to know where I get the numbers to understand the problem not an Exel program.
Probability that kickstarter pitches are unsuccessful = 0.56
Let this Probability be q.
So, Probability of a kickstarter pitcher being successfu = p = 1-q = 1-0.56 = 0.44
Let X be the number of kickstarter projects that is successful.
So, X follows a binomial distribution with parameters n and p.
Since we have two possible options (success (p) and failure (q))
Given, n = 50
So, X ~ Bin (n,p) or, X~Bin(50, 0.44)
Since we need the probability of 50% of the projects out of 50 samples to be successful.
We basically need the probability that more than 25/50 people are successful.
So, P(X>25)
Since n is large, let us do normal approximation -
X~N(np,npq) approximately
E(X) = = np = 50×0.44 = 22
V(X) = = npq = 50×0.44×0.56 = 12.32
So,
Where Z follows standard normal distribution I.E., X ~ N(0,1)
Thus, we need -
P(Z > 0.71225)
Using statistical tables we can see that P(Z<0.71225) is 0.762
So, P(Z>0.7125) = 1-0.762 = 0.238.