Question: The Blacktop Speedway is a supplier of automotive parts. Included in stock are 12 speedometers that are correctly calibrated and two that are not. Three speedometers are randomly selected without replacement. Let the random variable $x$ represent the number that are not correctly calibrated.
Complete the probability distribution table. (Report probabilities accurate to 4 decimal places.)
$x$ $P(x)$
0
1
2
3
Find the mean of this probability distribution. (Appropriate rounding rules apply.)
mean =
1. **State the problem:** We have 14 speedometers total: 12 correctly calibrated and 2 not. We select 3 without replacement. The random variable $x$ is the number of not correctly calibrated speedometers selected.
2. **Find the total number of ways to select 3 speedometers from 14:**
$$\text{Total ways} = \binom{14}{3} = \frac{14 \times 13 \times 12}{3 \times 2 \times 1} = 364$$
3. **Calculate $P(x=0)$:** No not calibrated selected means all 3 are from the 12 correct ones.
$$P(x=0) = \frac{\binom{12}{3} \times \binom{2}{0}}{\binom{14}{3}} = \frac{\binom{12}{3}}{364}$$
Calculate numerator:
$$\binom{12}{3} = \frac{12 \times 11 \times 10}{3 \times 2 \times 1} = 220$$
So:
$$P(x=0) = \frac{220}{364} \approx 0.6044$$
4. **Calculate $P(x=1)$:** Exactly 1 not calibrated and 2 correct.
$$P(x=1) = \frac{\binom{12}{2} \times \binom{2}{1}}{364}$$
Calculate numerator:
$$\binom{12}{2} = \frac{12 \times 11}{2} = 66$$
$$\binom{2}{1} = 2$$
So:
$$P(x=1) = \frac{66 \times 2}{364} = \frac{132}{364} \approx 0.3626$$
5. **Calculate $P(x=2)$:** Exactly 2 not calibrated and 1 correct.
$$P(x=2) = \frac{\binom{12}{1} \times \binom{2}{2}}{364}$$
Calculate numerator:
$$\binom{12}{1} = 12$$
$$\binom{2}{2} = 1$$
So:
$$P(x=2) = \frac{12 \times 1}{364} = \frac{12}{364} \approx 0.0330$$
6. **Calculate $P(x=3)$:** Exactly 3 not calibrated. Since only 2 are not calibrated, this is impossible.
$$P(x=3) = 0$$
7. **Check probabilities sum to 1:**
$$0.6044 + 0.3626 + 0.0330 + 0 = 1.0000$$
8. **Find the mean (expected value) of $x$:**
$$\mu = E(x) = \sum x P(x) = 0 \times 0.6044 + 1 \times 0.3626 + 2 \times 0.0330 + 3 \times 0 = 0 + 0.3626 + 0.0660 + 0 = 0.4286$$
**Final answers:**
| $x$ | $P(x)$ |
|-----|--------|
| 0 | 0.6044 |
| 1 | 0.3626 |
| 2 | 0.0330 |
| 3 | 0 |
Mean = $0.4286$