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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.