Respuesta :
Answer:
The probability that more than 130 students were born in January under the given assumptions is 0.00086
Step-by-step explanation:
Let X be a variable denoting the number of birthdays in January.
P(that a gien birthday is in the month of January) Â Â = Â [tex]\frac{1}{12}[/tex]
                                 E(X) = np = [tex]1200\times\frac{1}{12}[/tex] = 100                                                                                             Â
                                  σ = [tex]\sqrt{ (np ( 1 -p ))}[/tex] = 9.5743
Now, as per question
P (X> 130) = 1 - P( x ≤ 130)
         = 1 - P (Z ≤  [tex]\frac{130 - 100}{9.53742}[/tex] )
         = 1 - 0.99914
         =0.00086
The probability that more than 130 students were born in January, if
- Months equally likely contain birthdays is 0.087%
- Days equally likely contain birthdays is 0.18%
(a) Months equally likely contain birthdays
There are 12 months in a year.
So, the probability of having a birthday in a January is
[tex]p = \frac 1{12}[/tex]
The number of students (n) is given as 1200.
So, the mean is:
[tex]\mu =np[/tex]
[tex]\mu =1200 \times \frac 1{12}[/tex]
[tex]\mu =100[/tex]
The standard deviation is:
[tex]\sigma = \sqrt{np(1 - p)}[/tex]
[tex]\sigma = \sqrt{1200 \times \frac 1{12} \times (1 - \frac 1{12})}[/tex]
[tex]\sigma = 9.574[/tex]
Calculate the z-score for x = 130
[tex]z = \frac{x - \mu}{\sigma}[/tex]
[tex]z = \frac{130 - 100}{9.574}[/tex]
[tex]z = \frac{30}{9.574}[/tex]
[tex]z = 3.133[/tex]
So, the probability is represented as:
[tex]P(x > 130) = P(z > 3.133)[/tex]
From z-scores of probabilities, we have:
[tex]P(x > 130) = 0.00086515[/tex]
Express as percentage
[tex]P(x > 130) = 0.086515\%[/tex]
Approximate
[tex]P(x > 130) = 0.087\%[/tex]
Hence, the probability is 0.087%
(b) Days equally likely contain birthdays
There are 365 days in a year, ad 31 days in January.
So, the probability of having a birthday in January is
[tex]p = \frac {31}{365}[/tex]
[tex]p = 0.0849[/tex]
The number of students (n) is given as 1200.
So, the mean is:
[tex]\mu =np[/tex]
[tex]\mu =1200 \times 0.0849[/tex]
[tex]\mu =101.88[/tex]
The standard deviation is:
[tex]\sigma = \sqrt{np(1 - p)}[/tex]
[tex]\sigma = \sqrt{1200 \times 0.0849 \times (1 - 0.0849)}[/tex]
[tex]\sigma = 9.656[/tex]
Calculate the z-score for x = 130
[tex]z = \frac{x - \mu}{\sigma}[/tex]
[tex]z = \frac{130 - 101.88}{9.656}[/tex]
[tex]z = \frac{28.12}{9.656}[/tex]
[tex]z = 2.912[/tex]
So, the probability is represented as:
[tex]P(x > 130) = P(z > 2.912)[/tex]
From z-scores of probabilities, we have:
[tex]P(x > 130) = 0.0017956[/tex]
Express as percentage
[tex]P(x > 130) = 0.17956\%[/tex]
Approximate
[tex]P(x > 130) = 0.18\%[/tex]
Hence, the probability is 0.18%
Read more about probabilities at:
https://brainly.com/question/13031543