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sweet-ann [11.9K]
3 years ago
7

A study indicates that 37% of students have laptops. You randomly sample 30 students. Find the mean and the standard deviation o

f the number of students with laptops.
Mathematics
1 answer:
Brilliant_brown [7]3 years ago
5 0

Answer:

The mean and the standard deviation of the number of students with laptops are 1.11 and 0.836 respectively.

Step-by-step explanation:

Let <em>X</em> = number of students who have laptops.

The probability of a student having a laptop is, P (X) = <em>p</em> = 0.37.

A random sample of <em>n</em> = 30 students is selected.

The event of a student having a laptop is independent of the other students.

The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> and <em>p</em>.

The mean and standard deviation of a binomial random variable <em>X</em> are:

\mu=np\\\sigma=\sqrt{np(1-p)}

Compute the mean of the random variable <em>X</em> as follows:

\mu=np=30\times0.37=1.11

The mean of the random variable <em>X</em> is 1.11.

Compute the standard deviation of the random variable <em>X</em> as follows:

\sigma=\sqrt{np(1-p)}=\sqrt{30\times0.37\times(1-0.37)}=\sqrt{0.6993}=0.836

The standard deviation of the random variable <em>X</em> is 0.836.

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Positive numbers go to the right on the real axis and up on the imaginary axis, and vice versa for negative numbers.

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A student believes that less than 50% of students at his college receive financial aid. A random sample of 120 students was take
marusya05 [52]

Answer:

p= 0.9995 and we can conclude that students receiving aid is more than 50% according to the sample results in 2% significance level.

Step-by-step explanation:

H_{0}: less than or equal 50% of students at his college receive financial aid

H_{a}: more than 50% of students receive financial aid.

According to the nul hypothesis we assume a normal distribution with proportion 50%.

z-score of sample proportion can be calculated using the formula:

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then z=\frac{0.65-0.50}{\frac{\sqrt{0.25}}{\sqrt{120} } } ≈ 3,29

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