The proportion of students who own a cell phone on college campuses across the country has increased tremendously over the past few years. It is estimated that approximately 90% of students now own a cell phone. Fifteen students are to be selected at random from a large university. Assume that the proportion of students who own a cell phone at this university is the same as nationwide. Let X = the number of students in the sample of 15 who own a cell phone.
1. What is the appropriate distribution forX? **N = Normal, B = Binomial?
A. X is M(15, 0.9).
B, X is B(15, 09).
C. Xis B(15, 13.5).
D. Xis N(13,5, 1.16).
2. On average, how many students will own a cell phone in a simple random sample of 15 students?
a. 9.
b. 13
c. 13.5.
d. 14 17.
3. What is the standard deviation of the number of students who own a cell phone in a simple random sample of 15 students?
a. 0.077.
b. 0.09.
c. 1.16.
d. 1.35.
4. What is the probability that all students in a simple random sample of 15 students own a cell phone?
a. 0.
b. 0.1.
c. 0.206.
d. 0.9.

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Complete Question

The complete question is shown on the uploaded image  

Answer:

1 ) The correct option B

2) The correct option is  C

3)  The correct option is  C

4)  The correct option is  C

Step-by-step explanation:

From the question we are told that

   The proportion that own a cell phone  is  [tex]p = 0.90[/tex]

    The  sample  size is  n =  15

Generally the appropriate distribution for X is mathematically  represented as

      [tex]X \ is \ B( n , p )[/tex]

So  

       [tex]X \ is \ B( 15 , 0.90 )[/tex]

Generally the number students that  own a cell phone in a simple random sample of 15 students is mathematically represented as

              [tex]\mu = n * p[/tex]

              [tex]\mu = 15 * 0.90[/tex]

              [tex]\mu = 13.5[/tex]

Generally the standard deviation of the number of students who own a cell phone in a simple random sample of 15 students is mathematically represented as

                [tex]\sigma = \sqrt{ n * p * q }[/tex]

Where  q is mathematically evaluated as

          [tex]q = 1- p[/tex]

           [tex]q = 1- 0.90[/tex]

           [tex]q = 0.10[/tex]

            [tex]\sigma = \sqrt{ 15 * 0.90 * 0.10 }[/tex]

            [tex]\sigma = 1.16[/tex]

Generally the probability that all students in a simple random sample of 15 students own a cell phone is mathematically represented as

   [tex]P(X = 15) = \left 15} \atop {}} \right.C_{15} * p^{15} * q^{15 - 15}[/tex]    

     [tex]P(X = 15) = \left 15} \atop {}} \right.C_{15} * (0.90)^{15} * (0.10 )^{15 - 15}[/tex]

From the combination calculator  is      [tex]\left 15} \atop {}} \right.C_{15} = 1[/tex]

     [tex]P(X = 15) = 1 * 0.205891 * 1[/tex]

      [tex]P(X = 15) = 0.206[/tex]

Ver imagen okpalawalter8

The appropriate distribution for X is M(15, 0.9).

On average 1.345 students will own a cell phone in a simple random sample of 15 students.

The standard deviation of the number of students who own a cell phone in a simple random sample of 15 students is 1.16.

The probability that all students in a simple random sample of 15 students own a cell phone is 0.206.

Given that,

The proportion of students who own a cell phone on college campuses across the country has increased tremendously over the past few years.

It is estimated that approximately 90% of students now own a cell phone. Fifteen students are to be selected at random from a large university.

Assume that the proportion of students who own a cell phone at this university is the same as nationwide.

According to the question,

Let X = the number of students in the sample of 15 who own a cell phone.

1. The appropriate distribution for X is,

the sample size is n equals 15 and the proportion of the cell phone is 90% = 0.9.

The appropriate distribution for X is M(15, 0.9).

2. On average students will own a cell phone in a simple random sample of 15 students is,

[tex]\mu = n \times p\\\\\mu = 15 \times 0.9\\\\\mu = 1.345[/tex]

On average 1.345 students will own a cell phone in a simple random sample of 15 students.

3. The standard deviation of the number of students who own a cell phone in a simple random sample of 15 students is,

[tex]\rm \sigma = \sqrt{n \times p \times q}\\\\\sigma = \sqrt{n \times p \times (1-q)}\\\\\sigma = \sqrt{15 \times 0.9 \times (1-0.9)}\\\\\sigma = \sqrt{15 \times 0.9 \times 0.1}\\\\\sigma = 1.16[/tex]

The standard deviation of the number of students who own a cell phone in a simple random sample of 15 students is 1.16.

4. The probability that all students in a simple random sample of 15 students own a cell phone is,

[tex]\rm P(X=15) = 15_C_{15} \times p^{15} \times q^{15-15}\\\\P(X=15) = 1 \times (0.90)^{15 }\times (0.10)^0\\\\P(X=15) = 1 \times 0.206\times 1\\\\P(X=15) = 0.206[/tex]

The probability that all students in a simple random sample of 15 students own a cell phone is 0.206.

For more details refer to the link given below.

https://brainly.com/question/17521208