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Mathematics 19 Online
OpenStudy (anonymous):

Help Please! 1,200 employees of a company were surveyed to find out whether they were satisfied with the company’s insurance policy. The survey showed that 80% of the respondents were not satisfied with the policy. The standard error of the proportion is ____% The number of people who are satisfied with the policy is between ____% and ___% I'll post below what I have done so far which isn't much.

OpenStudy (anonymous):

p=0.8 n=1200 The standard error of proportion is +/- 1.15 I used online calculator but still unsure if I even used that correctly. Struggling with the z-table so maybe if someone could show me what to look for. The number of people who are satisfied with the policy is between 18.85% and 21.15% I got this answer from the difference of the standard error.

OpenStudy (anonymous):

@amistre64 are u busy? I could use some help please. :)

OpenStudy (amistre64):

im always busy ... even when im not

OpenStudy (amistre64):

sqrt(pq/n) is the formula for standard error of a proportion, which is not what you have. can you prove me wrong?

OpenStudy (anonymous):

lol no I trust you way better than me.

OpenStudy (amistre64):

there is no 'confidence' value to determine an interval with.

OpenStudy (anonymous):

so I have to find the confidence value it wasn;t given

OpenStudy (anonymous):

what would I go with then

OpenStudy (amistre64):

it should be stated, or some margin of error expressed. you can define an interval that i know of without basing it on something

OpenStudy (anonymous):

They gave me choices could I figure it out through process of elimination?

OpenStudy (amistre64):

maybe

OpenStudy (anonymous):

ok one sec

OpenStudy (amistre64):

so which function would you be more impressed with? the boring line, or the cool stepping one? http://assets.openstudy.com/updates/attachments/5557f409e4b0db8ecf8fb455-amistre64-1431828754599-untitled.jpg

OpenStudy (anonymous):

1,200 employees of a company were surveyed to find out whether they were satisfied with the company’s insurance policy. The survey showed that 80% of the respondents were not satisfied with the policy. The standard error of the proportion is ( +/-1.15 or +/-2.3 )% The number of people who are satisfied with the policy is between (78.85 or 18.85)_% and (81.15 or 21.15) %

OpenStudy (amistre64):

that really doesnt look like anything that would correspond the the information to me, can you take a screen shot by chance?

OpenStudy (anonymous):

hold on

OpenStudy (amistre64):

hmm, yeah, thats not making sense to me. srry

OpenStudy (anonymous):

ok thanks

OpenStudy (anonymous):

btw I am more impressed with the stepping stone. :)

OpenStudy (amistre64):

\[p\pm E\] \[p\pm z\sqrt{\frac{pq}{n}}\] lol, me too ... hits all the required points that the line hits

OpenStudy (amistre64):

i just dont see how they are figuring their spread.

OpenStudy (anonymous):

I have been working for days to get ready for the exam and I have lots of faulty questions in my packet. Happens all the time. If I find out I will let you know.

OpenStudy (amistre64):

those are percents sqrt(.8*.2/1200) = .0115.... or 1.15%

OpenStudy (anonymous):

I still need to figure out and make sure i know the z table/score

OpenStudy (amistre64):

or rather 1200(.8) = +- sqrt(1200(.8)(.2))

OpenStudy (anonymous):

yeah but those were the only choices I had.

OpenStudy (anonymous):

Thanks for trying. Have a good night or day wherever in the world you might happen to be. :)

OpenStudy (amistre64):

80 -+ 1.15 = 78.85 and 81.15 80 -+ 2.30 = 77.70 and 82.30 using ( +/-1.15 or +/-2.3 ) (78.85 or 18.85) and (81.15 or 21.15) ?????? ?????? those other 2 dont even come up in the setup

OpenStudy (amistre64):

my educated guess is 1.15 and 78 and 81

OpenStudy (amistre64):

the only problem with this is, we can only be 68% confident of this interval, which isnt very good. we would rather be 95% or 99% confident.

OpenStudy (anonymous):

Thank you

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