To solve these problems, we can use the binomial probability formula, which is given by:
\[
P(X = k) = \binom{n}{k} p^k (1-p)^{n-k}
\]
where:
- \( n \) is the number of trials (in this case, 9 adults),
- \( k \) is the number of successes (the number of adults who say they were too young),
- \( p \) is the probability of success (in this case, \( 0.20 \)),
- \( \binom{n}{k} \) is the binomial coefficient, calculated as \( \frac{n!}{k!(n-k)!} \).
Given that \( p = 0.20 \) and \( n = 9 \), we can calculate the probabilities for parts (a), (b), and (c).
### Part (a)
**Find the probability that none of the selected adults say that they were too young to get tattoos.**
Here, \( k = 0 \):
\[
P(X = 0) = \binom{9}{0} (0.20)^0 (0.80)^9
\]
Calculating this:
\[
\binom{9}{0} = 1
\]
\[
(0.20)^0 = 1
\]
\[
(0.80)^9 \approx 0.134217728
\]
Thus,
\[
P(X = 0) \approx 1 \cdot 1 \cdot 0.134217728 \approx 0.1342
\]
### Part (b)
**Find the probability that exactly one of the selected adults says that he or she was too young to get tattoos.**
Here, \( k = 1 \):
\[
P(X = 1) = \binom{9}{1} (0.20)^1 (0.80)^8
\]
Calculating this:
\[
\binom{9}{1} = 9
\]
\[
(0.20)^1 = 0.20
\]
\[
(0.80)^8 \approx 0.16777216
\]
Thus,
\[
P(X = 1) = 9 \cdot 0.20 \cdot 0.16777216 \approx 9 \cdot 0.033554432 \approx 0.3020
\]
### Part (c)
**Find the probability that the number of selected adults saying they were too young is 0 or 1.**
This is the sum of the probabilities from parts (a) and (b):
\[
P(X = 0 \text{ or } X = 1) = P(X = 0) + P(X = 1)
\]
Calculating this:
\[
P(X = 0 \text{ or } X = 1) = 0.1342 + 0.3020 = 0.4362
\]
### Summary of Results
- (a) \( P(X = 0) \approx 0.1342 \)
- (b) \( P(X = 1) \approx 0.3020 \)
- (c) \( P(X = 0 \text{ or } X = 1) \approx 0.4362 \)
Thus, the final answers are:
- (a) 0.1342
- (b) 0.3020
- (c) 0.4362
(a) 0.1342
(b) 0.3020
(c) 0.4362