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CI When n = 250 - Intro to Inferential Statistics

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    So, let's again look at how we solved for the last confidence interval. We still
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    know that the true population mean, Mu sub BT, is going to be within 1.96
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    standard deviations of our sample mean. So, our sample mean is 40. And if we
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    subtract 1.96 standard deviations, we subtract 1.96 times 1.01. So this is
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    38.02, approximately. And then, to find the upper bound of this confidence
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    interval, we just add 1.96 standard deviations from the mean. So, this is about
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    41.98. It's pretty simple when we lay it out like this, just generically x bar
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    plus or minus the z score, in this case 1.96 since we want a 95% confidence
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    interval, times the standard deviation. But, really understanding the concept of
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    the confidence interval is really complicated. So, if you need to, keep
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    replaying these videos. Keep thinking about it. Don't worry. It took me a really
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    long time. I'm still completely understanding this stuff. It's complicated and
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    it requires some thought and patience.
Title:
CI When n = 250 - Intro to Inferential Statistics
Description:

02-24 CI When n = 250

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Video Language:
English
Team:
Udacity
Project:
UD201 - Intro to Inferential Statistics
Duration:
01:15
Udacity Robot edited English subtitles for 02-24 CI When n = 250
Udacity Robot edited English subtitles for 02-24 CI When n = 250
Udacity Robot edited English subtitles for 02-24 CI When n = 250
Udacity Robot edited English subtitles for 02-24 CI When n = 250
Udacity Robot edited English subtitles for 02-24 CI When n = 250
Cogi-Admin added a translation

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