Answer:
Step-by-step explanation:
a-1. We can use the expected value formula to find the number of problems we would expect to be resolved today:
Expected value = Number of cases reported x Probability of resolution
Expected value = 12 x 0.7
Expected value = 8.4
Rounding to 2 decimal places, we would expect 8.40 problems to be resolved today.
a-2. To find the standard deviation, we can use the formula:
Standard deviation = √(n x p x (1 - p))
where n is the number of cases reported and p is the probability of resolution. Substituting in the values given, we get:
Standard deviation = √(12 x 0.7 x (1 - 0.7))
Standard deviation = √(3.36)
Standard deviation = 1.8326
Rounding to 4 decimal places, the standard deviation is 1.8326.
b. To find the probability that 6 of the problems can be resolved today, we can use the binomial probability formula:
P(X = x) = (nCx) * p^x * (1 - p)^(n - x)
where n is the number of cases reported, p is the probability of resolution, x is the number of cases that can be resolved, and nCx is the binomial coefficient (nCx = n! / x!(n-x)!).
Substituting in the values given, we get:
P(X = 6) = (12C6) * 0.7^6 * (1 - 0.7)^(12 - 6)
P(X = 6) = (924) * 0.7^6 * 0.3^6
P(X = 6) = 0.0482
Rounding to 4 decimal places, the probability that 6 of the problems can be resolved today is 0.0482.
c. To find the probability that 6 or 7 of the problems can be resolved today, we can use the same formula as in part (b), but we need to calculate the probabilities separately for 6 and 7, and then add them together:
P(X = 6 or X = 7) = P(X = 6) + P(X = 7)
P(X = 6 or X = 7) = (12C6) * 0.7^6 * 0.3^6 + (12C7) * 0.7^7 * 0.3^5
P(X = 6 or X = 7) = 0.0482 + 0.1254
P(X = 6 or X = 7) = 0.1736
Rounding to 4 decimal places, the probability that 6 or 7 of the problems can be resolved today is 0.1736.
d. To find the probability that more than 7 of the problems can be resolved today, we can use the complement rule and subtract the probability of 7 or fewer problems being resolved from 1:
P(X > 7) = 1 - P(X ≤ 7)
P(X > 7) = 1 - [P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) + P(X = 7)]
P(X > 7) = 1 - [(12C0) * 0.7^0 * 0.3^12 + (12C1) * 0.7