Scenario 2:
The random variable "X" has a hypergeometric distribution with parameters 52, 13, 5 (see https://en.wikipedia.org/wiki/Hypergeometric_distribution). We have 52 cards and 13 hearts among them. We make a set of five cards and looking for the probability of 3 or more hearts. It fits into the scheme for a hypergeometric distribution. The aim is to find:
"P(X\\geq3)=P(X=3)+P(X=4)+P(X=5)=\\frac{C_{13}^3C_{39}^2}{C_{52}^5}+\\frac{C_{13}^4C_{39}^1}{C_{52}^5}+\\frac{C_{13}^5}{C_{52}^5}"
The binomial coefficients have the form:
"C_{13}^3=\\frac{13!}{10!3!}=\\frac{13\\cdot12\\cdot11}{6}=286" ; "C_{39}^2=\\frac{39!}{37!2!}=\\frac{39\\cdot38}{2}=741";
"C_{13}^4=\\frac{13!}{9!4!}=\\frac{13\\cdot12\\cdot11\\cdot10}{24}=715" ; "C_{39}^1=\\frac{39!}{38!1!}=39" ; "C_{13}^5=\\frac{13!}{8!5!}=\\frac{13\\cdot12\\cdot11\\cdot10\\cdot9}{120}=1287" ;
"C_{52}^5=\\frac{52!}{47!5!}=\\frac{52\\cdot51\\cdot50\\cdot49\\cdot48}{120}=2598960" ;
We receive:
"P(X\\geq3)=\\frac{286\\cdot741+715\\cdot39+1287}{2598960}\\approx0.0928" (it is rounded to 4 decimal places)
In order to change the distribution, we make another formulation: There is a big amount of cards, 25% are hearts. We draw 5 cards. What is a probability that 3 or more of them are hearts?
Scenario 3:
The situation is similar to the previous one. "X" (presents a number of tickets in a blue section) has a hypergeometric distribution with parameters 10, 4, 2.
"P(X=2)=\\frac{C_{4}^2}{C_{10}^2}=\\frac{6}{45}\\approx0.1333" (it is rounded to 4 decimal places)
In order to change the distribution, we make another formulation: There is a big amount of tickets. 40% are in the blue section. The manager gives two of them. What is a probability that they are in the blue section?
Scenario 4:
Suppose that "X" is a random variable that presents a number of songs by Canadian artists. It has a binomial distribution with parameters 10 and 0.4. We have:
"P(X=5)=C_{10}^5(0.4)^5(0.6)^5=\\frac{10\\cdot9\\cdot8\\cdot7\\cdot6}{5!}(0.24)^5\\approx0.2007" (it is rounded to 4 decimal places)
In order to change the distribution, we make anothe formulation: We take 10 songs from the collection of 100 songs that contains 40 songs by Canadian artists. What is the probability that 5 of them are by Canadian artists?
Answers: Scenario 2: 0.0928; Scenario 3: 0.1333; Scenario 4: 0.2007 (the answers are rounded to 4 decimal places)
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