In this scenario, we define:
- Success: Grooming a small dog.
- Failure: Grooming a large dog.
Given that large dogs account for \(20\%\) of Sandy's business, the probability of success \(p\) (grooming a small dog) is \(0.8\) and the probability of failure \(q\) (grooming a large dog) is \(0.2\).
To find the probability that all 5 appointments are for small dogs, we use the binomial probability formula:
\[
P(X = x) = \binom{n}{x} \cdot p^x \cdot q^{n-x}
\]
Substituting \(n = 5\), \(x = 5\), \(p = 0.8\), and \(q = 0.2\):
\[
P(X = 5) = \binom{5}{5} \cdot (0.8)^5 \cdot (0.2)^0 = 1 \cdot 0.32768 \cdot 1 = 0.3277
\]
Thus, the probability that all 5 appointments are for small dogs is \(0.3277\).
To find the probability that less than 2 of the appointments are for large dogs, we calculate the probabilities for \(X = 0\) and \(X = 1\):
For \(X = 0\):
\[
P(X = 0) = \binom{5}{0} \cdot (0.2)^0 \cdot (0.8)^5 = 1 \cdot 1 \cdot 0.32768 = 0.3277
\]
For \(X = 1\):
\[
P(X = 1) = \binom{5}{1} \cdot (0.2)^1 \cdot (0.8)^4 = 5 \cdot 0.2 \cdot 0.4096 = 0.4096
\]
Adding these probabilities gives:
\[
P(X < 2) = P(X = 0) + P(X = 1) = 0.3277 + 0.4096 = 0.7373
\]
Thus, the probability that less than 2 of the appointments are for large dogs is \(0.7373\).
To calculate the expected amount of time to finish all 5 dogs, we first find the expected number of large dogs:
\[
\mu = n \cdot p = 5 \cdot 0.2 = 1.0
\]
The expected number of small dogs is:
\[
5 - \mu = 5 - 1 = 4
\]
Next, we calculate the expected grooming time:
- Time for small dogs: \(40\) minutes each
- Time for large dogs: \(70\) minutes each
Thus, the expected time is:
\[
\text{Expected Time} = (4 \cdot 40) + (1 \cdot 70) = 160 + 70 = 230 \text{ minutes}
\]
- Probability that all 5 appointments are for small dogs: \(0.3277\)
- Probability that less than 2 of the appointments are for large dogs: \(0.7373\)
- Expected amount of time to finish all 5 dogs: \(230\) minutes
\[
\boxed{0.3277, 0.7373, 230}
\]