Respuesta :
Answer:
The probabilities are:
- For no successful surgeries: practically 0
- For one successful surgery: 0.004
- For two successful surgeries: 0.021
- For three successful surgeries: 0.074
- For four successful surgeries: 0.167
- For five successful surgeries: 0.251
- For six successful surgeries: 0.251
- For seven successful surgeries: 0.161
- For eight successful surgeries: 0.06
- For nine successful surgeries: 0.01
Step-by-step explanation:
Lets call X the total number of success. X counts the number of success from the same experiment repeated 9 times with a probability of success of 0.6 and one experiment independent of the other. Therefore X has Binomial distribution, X ≈ Bi(9,0.6).
The range of X is {0,1,2,3,4,5,6,7,8,9} and the probability of X being equal to a value k in its range is the number [tex] P_X(k) [/tex] given by
[tex]P_X(k) = {9 \choose k} \, 0.6^k * (1-0.6)^{9-k}[/tex]
Thus,
- [tex]P_X(0) = {9 \choose 0} (0.4)^9 = (0.4)^9 = 0.000262 , [/tex] rounded to 0
- [tex]P_X(1) = {9 \choose 1} 0.6 * 0.4^8 = 9 * 0.6 * 0.4^8 = 0.004[/tex]
- [tex]P_X(2) = {9 \choose 2} 0.6^2 * 0.4^7 = 36 * 0.6^2*0.4^7 = 0.021 [/tex]
- [tex]P_X(3) = {9 \choose 3} 0.6^3 * 0.4^6 = 84 * 0.6^3*0.4^7 = 0.074 [/tex]
- [tex]P_X(4) = {9 \choose 4} 0.6^4 * 0.4^5 = 126*0.6^4*0.4^5 = 0.167 [/tex]
- [tex]P_X(5) = {9 \choose 5} 0.6^5 * 0.4^4 = 126*0.6^5*0.4^4 = 0.251 [/tex]
- [tex]P_X(6) = {9 \choose 6} 0.6^6 * 0.4^3 = 84*0.6^6*0.4^3 = 0.251 [/tex]
- [tex]P_X(7) = {9 \choose 7} 0.6^7 * 0.4^2 = 36*0.6^7*0.4^2 = 0.161 [/tex]
- [tex]P_X(8) = {9 \choose 8} 0.6^8*0.4 = 9*0.6^8*0.4 = 0.06 [/tex]
- [tex]P_X(9) = {9 \choose 9} 0.6^9 = 0.6^9 = 0.01 [/tex]
I hope that works for you!