A lathe machine produces machine parts whose lengths are normally distributed with a standard deviation of 0.20 mm. A sample of 10 parts is found to have a mean of 16.35 mm. Based on this sample, what is the 95% confidence interval for the population mean ?
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OpenStudy (anonymous):
@rational
OpenStudy (rational):
start by finding the "margin of error"
OpenStudy (rational):
whats the multipilier(Z*) value for 95% confidence interval ?
(look up in ur notes)
OpenStudy (anonymous):
.95
OpenStudy (rational):
there will be a multiplier value, look up ur notes once
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OpenStudy (rational):
For 95% confidence interval, the multiplier value is `1.96` :
|dw:1432814569497:dw|
OpenStudy (rational):
therefore margin of error is
\[1.96*\frac{0.2}{\sqrt{10}} = ?\]
OpenStudy (anonymous):
I feel like I messed up
OpenStudy (rational):
messed up what
OpenStudy (anonymous):
.0153664 is what I got and that does not seem right to me
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OpenStudy (rational):
work it again
use ur calculator
OpenStudy (anonymous):
calc says .1214314622
OpenStudy (rational):
looks good, round it to 0.12 maybe
OpenStudy (rational):
so the margin of error is 0.12
OpenStudy (rational):
subtract that from mean, what do u get ?
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OpenStudy (rational):
16.35-0.12 = ?
OpenStudy (anonymous):
16.23
OpenStudy (rational):
yes thats the lower bound of confidence interval
OpenStudy (rational):
for upper bound simply add
16.35 + 0.12 = ?
OpenStudy (anonymous):
16.47
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OpenStudy (anonymous):
16.22-16.47
OpenStudy (rational):
so the confidence interval is \[\large (16.23,~ 16.47)\]