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OpenStudy (anonymous):

yeah

OpenStudy (anonymous):

OpenStudy (anonymous):

its about stat

OpenStudy (anonymous):

yeah i no

OpenStudy (anonymous):

i cant open the attachment

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OpenStudy (anonymous):

i have done that,

OpenStudy (anonymous):

i just want to know

OpenStudy (anonymous):

Are the probabilities you calculated in (b) and (c) exact or approximate? Explain.

jimthompson5910 (jim_thompson5910):

they are approximate since you have decimal approximations

OpenStudy (anonymous):

are the calculations correct?

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OpenStudy (anonymous):

can I say it like this?

OpenStudy (anonymous):

The probabilities are approximate. Because it follows a normal distribution, as n increases, the sampling distribution of x bar approaches a normal distribution.

jimthompson5910 (jim_thompson5910):

that's correct, you're using the central limit theorem

OpenStudy (anonymous):

what if its skewed to the right?

OpenStudy (anonymous):

i mean non normal x bar

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jimthompson5910 (jim_thompson5910):

if it was skewed to the right, then you wouldn't use a normal distribution

OpenStudy (anonymous):

wait

OpenStudy (anonymous):

OpenStudy (anonymous):

I mean question like that

OpenStudy (anonymous):

Are the probabilities in (b) and (c) exact or approximate?

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jimthompson5910 (jim_thompson5910):

they would be approximate as well

OpenStudy (anonymous):

how should I explain it?

OpenStudy (anonymous):

?

jimthompson5910 (jim_thompson5910):

well you have decimal approximations, which is close to the real thing, but not exactly there

jimthompson5910 (jim_thompson5910):

it's like saying 0.667 is a decimal approximation to 2/3

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OpenStudy (anonymous):

The probabilities are approximate. Because it follows a normal distribution, as n increases, the sampling distribution of x bar approaches a normal distribution.