Respuesta :
Answer:
Probability of more than 9 adult Australian sheep dogs out of 12 weighing 65 lb or more
P(X > 9) = 0.00788
Step-by-step explanation:
The only assumption required for the question is that all 12 adult dogs sampled must all be Australian sheep dogs.
This is a binomial distribution problem
Binomial distribution function is represented by
P(X = x) = ⁿCₓ pˣ qⁿ⁻ˣ
n = total number of sample spaces = number of adult dogs to be sampled = 12
x = Number of successes required = number of dogs that weigh 65 lb or more
= more than 9; >9
p = probability of success = probability of a dog weighing 65 lb or more = 0.45
q = probability of failure = probability of a dog NOT weighing 65 lb or more = 1 - 0.45 = 0.55
P(X > 9) = P(X=10) + P(X=11) + P(X=12)
Solving each of these probabilities, using the binomial distribution formula
P(X = x) = ¹²Cₓ (0.45)ˣ (0.55)¹²⁻ˣ with x = 10, 11 and 12
P(X > 9) = P(X=10) + P(X=11) + P(X=12)
= 0.00679820806 + 0.00101130368 + 0.00006895252
= 0.00787846427
= 0.00788 to 3 s.f
Hope this Helps!!!
Answer:
The probability that more than 9 of them weigh 65 lb or more is 7.8785 [tex]\times 10^{-3}[/tex].
Step-by-step explanation:
We are given that the Australian sheep dog is a breed renowned for its intelligence and work ethic. It is estimated that 45% of adult Australian sheep dogs weigh 65 pounds or more.
Also, sample of 12 adult dogs is studied.
The above situation can be represented through Binomial distribution;
[tex]P(X=r) = \binom{n}{r}p^{r} (1-p)^{n-r} ; x = 0,1,2,3,.....[/tex]
where, n = number of trials (samples) taken = 12 dogs
r = number of success = more than 9
p = probability of success which in our question is % of adult
Australian sheep dogs who weigh 65 pounds or more, i.e; 45%
LET X = Number of dogs who weigh 65 pounds or more
So, it means X ~ [tex]Binom(n=12, p=0.45)[/tex]
Now, Probability that more than 9 of them weigh 65 lb or more is given by = P(X > 9)
P(X > 9) = P(X = 10) + P(X = 11) + P(X = 12)
= [tex]\binom{12}{10}\times 0.45^{10} \times (1-0.45)^{12-10} + \binom{12}{11}\times 0.45^{11} \times (1-0.45)^{12-11} + \binom{12}{12}\times 0.45^{12} \times (1-0.45)^{12-12}[/tex]
= [tex]66 \times 0.45^{10} \times 0.55^{2}+ 12 \times 0.45^{11} \times 0.55^{1}+ 1 \times 0.45^{12} \times 0.55^{0}[/tex]
= 7.8785 [tex]\times 10^{-3}[/tex]
Therefore, Probability that more than 9 of them weigh 65 lb or more is 7.8785 [tex]\times 10^{-3}[/tex].