We need to find the probability when choosing 3 letters from {A, B, C, D, E, F} (6 letters) randomly and with replacement. The goal is to determine the probability that the chosen sequence forms either the word $BAD$ or the word $CAD$.
Since the letters are chosen with replacement, each of the 3 positions in the sequence has 6 independent choices (A, B, C, D, E, F).
The total number of possible ordered sequences is calculated as:
$ \text{Total Outcomes} = 6 \times 6 \times 6 = 6^3 = 216 $
The question requires the probability of forming either $BAD$ or $CAD$. Given the options, the interpretation is that the selected sequence must be one of the permutations of the letters in $BAD$ or one of the permutations of the letters in $CAD$.
1. Permutations related to $BAD$:
The specific letters required are B, A, and D. The distinct permutations of these three letters are:
There are $3! = 6$ such sequences.
2. Permutations related to $CAD$:
The specific letters required are C, A, and D. The distinct permutations of these three letters are:
There are $3! = 6$ such sequences.
These two sets of sequences (permutations of $BAD$ and permutations of $CAD$) are mutually exclusive.
Total Favorable Outcomes = (Number of permutations of $BAD$) + (Number of permutations of $CAD$) = $6 + 6 = 12$.
The probability is the ratio of the number of favorable outcomes to the total number of possible outcomes.
$ \text{Probability} = \frac{\text{Total Favorable Outcomes}}{\text{Total Possible Outcomes}} $
$ \text{Probability} = \frac{12}{216} $
This result matches Option D.
Consider the problem of testing $H_0 : \theta = 1$ vs $H_1 : \theta = \frac{1}{2}$ where $\theta$ is the mean of a Poisson random variable. Let $X$ and $Y$ be a random sample from Poisson ($\theta$) distribution. Consider the following test procedure:
Reject $H_0$ if either $X = 0$ or $(X = 1 \text{ and } X + Y \leq 2)$; otherwise accept $H_0$.
Which of the following are true?
In a football league, the goals scored by home teams over 380 matches have the following frequency distribution.
| Number of goals | 0 | 1 | 2 | 3 | 4 | 5 |
| Frequency | 92 | 121 | 91 | 50 | 19 | 7 |
The average goals scored by home teams is 1.49. We want to test $H_0$: Goal distribution is Poisson. Based on observations the value of the $\chi^2$-statistic for goodness of fit is 1.27. Given $\chi^2_{0.05, 6} = 1.64, \chi^2_{0.05, 5} = 1.15, \chi^2_{0.95, 6} = 12.59$ and $\chi^2_{0.95, 5} = 11.07$, which of the following are true?