Answer :
Let's tackle this question step by step, beginning from the top and explaining the concepts as we go along.
### Given Information:
- Total number of chips = 13
- Number of blue chips = 5
- Number of chips selected = 3
Let [tex]\( X \)[/tex] be the number of blue chips in our selection.
### (a)
Since we are sampling without replacement from a finite population, [tex]\( X \)[/tex] follows a Hypergeometric distribution. We can write this as:
[tex]\[ X \sim \text{Hypergeometric}(M, n, N) \][/tex]
where:
- [tex]\( M \)[/tex] is the population size (13 chips total).
- [tex]\( n \)[/tex] is the number of success states in the population (5 blue chips).
- [tex]\( N \)[/tex] is the number of draws (3 chips drawn).
So, [tex]\( X \)[/tex] follows a Hypergeometric distribution with parameters 13, 5, and 3.
### (b)
We need to calculate the probability of drawing exactly 3 blue chips, denoted as [tex]\( P(X = 3) \)[/tex].
[tex]\[ P(X = 3) \approx 0.035 \][/tex]
### (c)
We need to find the probability of drawing 0 blue chips, denoted as [tex]\( P(X = 0) \)[/tex].
[tex]\[ P(X = 0) \approx 0.196 \][/tex]
### (d)
We need the probability of drawing exactly 1 blue chip, denoted as [tex]\( P(X = 1) \)[/tex].
[tex]\[ P(X = 1) \approx 0.4895 \][/tex]
### (e)
Now, the probability of drawing 1 or fewer blue chips (i.e., [tex]\( X \)[/tex] being less than or equal to 1). This is the sum of the probabilities of [tex]\( X = 0 \)[/tex] and [tex]\( X = 1 \)[/tex]:
[tex]\[ P(X \leq 1) = P(X = 0) + P(X = 1) \approx 0.196 + 0.4895 \approx 0.6853 \][/tex]
### (f)
Finally, the probability of drawing more than 1 blue chip (i.e., [tex]\( X \)[/tex] being greater than 1). This can be found by subtracting the probability of [tex]\( X \leq 1 \)[/tex] from 1.
[tex]\[ P(X > 1) = 1 - P(X \leq 1) \approx 1 - 0.6853 \approx 0.3147 \][/tex]
### Summary:
(a) [tex]\( X \)[/tex] follows a Hypergeometric distribution.
(b) [tex]\( P(X = 3) \approx 0.035 \)[/tex]
(c) [tex]\( P(X = 0) \approx 0.196 \)[/tex]
(d) [tex]\( P(X = 1) \approx 0.4895 \)[/tex]
(e) [tex]\( P(X \leq 1) \approx 0.6853 \)[/tex]
(f) [tex]\( P(X > 1) \approx 0.3147 \)[/tex]
### Given Information:
- Total number of chips = 13
- Number of blue chips = 5
- Number of chips selected = 3
Let [tex]\( X \)[/tex] be the number of blue chips in our selection.
### (a)
Since we are sampling without replacement from a finite population, [tex]\( X \)[/tex] follows a Hypergeometric distribution. We can write this as:
[tex]\[ X \sim \text{Hypergeometric}(M, n, N) \][/tex]
where:
- [tex]\( M \)[/tex] is the population size (13 chips total).
- [tex]\( n \)[/tex] is the number of success states in the population (5 blue chips).
- [tex]\( N \)[/tex] is the number of draws (3 chips drawn).
So, [tex]\( X \)[/tex] follows a Hypergeometric distribution with parameters 13, 5, and 3.
### (b)
We need to calculate the probability of drawing exactly 3 blue chips, denoted as [tex]\( P(X = 3) \)[/tex].
[tex]\[ P(X = 3) \approx 0.035 \][/tex]
### (c)
We need to find the probability of drawing 0 blue chips, denoted as [tex]\( P(X = 0) \)[/tex].
[tex]\[ P(X = 0) \approx 0.196 \][/tex]
### (d)
We need the probability of drawing exactly 1 blue chip, denoted as [tex]\( P(X = 1) \)[/tex].
[tex]\[ P(X = 1) \approx 0.4895 \][/tex]
### (e)
Now, the probability of drawing 1 or fewer blue chips (i.e., [tex]\( X \)[/tex] being less than or equal to 1). This is the sum of the probabilities of [tex]\( X = 0 \)[/tex] and [tex]\( X = 1 \)[/tex]:
[tex]\[ P(X \leq 1) = P(X = 0) + P(X = 1) \approx 0.196 + 0.4895 \approx 0.6853 \][/tex]
### (f)
Finally, the probability of drawing more than 1 blue chip (i.e., [tex]\( X \)[/tex] being greater than 1). This can be found by subtracting the probability of [tex]\( X \leq 1 \)[/tex] from 1.
[tex]\[ P(X > 1) = 1 - P(X \leq 1) \approx 1 - 0.6853 \approx 0.3147 \][/tex]
### Summary:
(a) [tex]\( X \)[/tex] follows a Hypergeometric distribution.
(b) [tex]\( P(X = 3) \approx 0.035 \)[/tex]
(c) [tex]\( P(X = 0) \approx 0.196 \)[/tex]
(d) [tex]\( P(X = 1) \approx 0.4895 \)[/tex]
(e) [tex]\( P(X \leq 1) \approx 0.6853 \)[/tex]
(f) [tex]\( P(X > 1) \approx 0.3147 \)[/tex]