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Standard Error of the Mean

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Uploaded by on Jan 26, 2010

Standard Error of the Mean (a.k.a. the standard deviation of the sampling distribution of the sample mean!)

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LICENSE: Creative Commons (Attribution-Noncommercial-No Derivative Works).

For more information about this license, please read: http://creativecommons.org/licenses/by-nc-nd/3.0/.

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  • lets get rid of teachers and just show khan videos. what i learned here would have taken 30-40 minutes to learn in my class. my teacher sucks. GoKhan

  • A couple of suggestions on I items I was looking for on Statistics that I didn't find.

    Confidence Interval

    Skew you mention it in this video)

    Definitions of Observation, subject, variable, Attribute Data vs Numerical Data

    Also, It would be nice to see more on visual Data (scatter plots, Histograms, etc.)

    Thank you so much for the great work you are doing.

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All Comments (51)

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  • 6:32 "I'm just making that number up." ...No problem, I do that all the time. =p

  • @khanacademy are u a YT partner bro?

  • i thought that 2.325 ~ 2.33

  • Gohan?

  • I bumped into this lecture while searching kim kardasian, Ill watch this then check kardesians standard deviation n value

  • It can be difficult to follow when done in the vacuum of the classroom, for me at least.

    When there are lives, money, time, energy, or jobs on the line - lessons are better absorbed.

  • @buzwazfuz

    u r rite...teachers suck..

  • ~~~~~~Thank the man first.

    ~~~~~~~~~~~Then give your feedback.

    He's happy. Your happy :)

  • Your approach of emphasizing a firm grasp of the CONCEPT - which is helped tremendously by your illustrations, examples and "friendly" narrative - before going to complex mathematical formulas (proofs) is an excellent one!

    I look forward to seeing more. (Hope you get into ANOVA).

    Many thanks for making this help available.

  • I watched the video and understand how to calculate SE and what it means, but as a biologist calculating SE of my data I think Im calculating the variance atound the sample mean - but then how is that different to my variance?

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