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nasty-shy [4]
2 years ago
4

The Office of Student Services at UNC would like to estimate the proportion of UNC's 34,000 students who are foreign students. I

n their random sample of 50 students, 4 are foreign students. Unknown to them, the proportion of all UNC students that are foreign students is 0.061. For each student, let x=0 if the student is from the U.S.
Find the mean and the standard deviation of the sampling distribution of the sample proportion for a sample of size 50.
Mathematics
1 answer:
Roman55 [17]2 years ago
3 0

Answer:

Step-by-step explanation:

Given that the Office of Student Services at UNC would like to estimate the proportion of UNC's 34,000 students who are foreign students.

In their random sample of 50 students, 4 are foreign students.

Sample proportion = \frac{4}{50} =0.08

the proportion of all UNC students that are foreign students is 0.061.

i.e. Population proportion= 0.061

Mean for 50 size sample = sample proportion = 0.08

Std deviation of sample proportion = \sqrt{0.061(1-0.061)/50} \\=0.0338

Hence for the ampling distribution of the sample proportion for a sample of size 50, mean =0.08 and std dev = 0.0338

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stepan [7]

Answer:

x=108

Step-by-step explanation:

see the attached figure to better understand the problem

we know that

m∠RQS≅m∠QLK -----> by corresponding angles

m∠KLM+m∠QLK=180° -----> by supplementary angles (consecutive interior angles)

we have that

m∠RQS=x° ----> given problem

so

m∠QLX=x°

m∠KLM=(x-36)° ----> given problem

substitute

(x-36)\°+x\°=180\°\\2x=180+36\\2x=216\\x=108

3 0
2 years ago
Read 2 more answers
Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well
laiz [17]

Answer:

The  value is  P(A) =  0.133617

Step-by-step explanation:

From the question we are told that

  The  mean is  \mu =  7.5

  The standard deviation is  \sigma  =  0.2

  The safest water level is  between  7.2 and  7.8

Generally the probability that the selected pool has a pH level that is not considered safe is mathematically represented as

       P(A) =  1 - P(7.2 \le X  \le 7.8 )

Here  

      P(7.2 < X  < 7.8 ) = P(\frac{ 7.2 - \mu }{\sigma } <  \frac{X - \mu }{ \sigma }

Generally \frac{X - \mu }{ \sigma } =  Z (The  \ standardized \  value  \  of  X )

So

 P(7.2 < X  < 7.8 ) = P(\frac{ 7.2 - 7.5 }{0.2 } < Z    

 P(7.2 < X  < 7.8 ) = P(-1.5 < Z  

=>  P(7.2 < X  < 7.8 ) = P(Z <  1.5) - P(  Z < - 1.5)

From the z-table the probability of  (Z <  -1.5) and   (  Z <1.5)  are

    P(Z <  1.5) =  0.93319

and  

    P(Z <  -1.5) =  0.066807

So

      P(7.2 < X  < 7.8 ) =0.93319 - 0.066807

       P(7.2 < X  < 7.8 ) =0.0866383

So

   P(A) =  1 - 0.0866383

=>  P(A) =  0.133617

5 0
2 years ago
A baker needs 8 1/2 cups of flour for a sheet cake recipe. He has 4 2/3 cups of flour in a canister and buys 5 1/4 cups more.
Juli2301 [7.4K]

Answer: 1 5/12 cups of flour leftover

Step-by-step explanation: First, add 4 2/3 + 5 1/4. This gives you 9 11/12. 9 11/12 - 8 1/2 = 1 5/12.

6 0
2 years ago
greyhounds can reach speeds of 20.1 meters per second. which conversion factor can be used to find this speed in meters per minu
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Multiply by 60, there are 60 seconds in a minute. It would be 1206 meters/minute
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2 years ago
A website advertises job openings on its website, but job seekers have to pay to access the list of job openings. The website re
nataly862011 [7]

Answer:

The 90% confidence interval would be given by (57.006;62.994)  

Step-by-step explanation:

Previous concepts

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

\bar X=60 represent the sample mean  

\mu population mean (variable of interest)  

\sigma=10 represent the population standard deviation  

n=30 represent the sample size  

Assuming the X follows a normal distribution  

X \sim N(\mu, \sigma=10)

The sample mean \bar X is distributed on this way:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})  

The confidence interval on this case is given by:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}} (1)

The next step would be find the value of \z_{\alpha/2}, \alpha=1-0.90=0.1,\alpha/2 =0.05 and z_\alpha/2=1.64  

Using the normal standard table, excel or a calculator we see that:  

z_{\alpha/2}=1.64

Since we have all the values we can replace:

60 - 1.64\frac{10}{\sqrt{30}}=57.006  

60 + 1.64\frac{10}{\sqrt{30}}=62.994  

So on this case the 90% confidence interval would be given by (57.006;62.994)  

5 0
2 years ago
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