Gaussian Distrib: What is Standard Deviation of Mean?

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Discussion Overview

The discussion revolves around the interpretation of standard deviation in the context of Gaussian distribution, specifically regarding the phrase "standard deviation of the mean value" and the meaning of "measurements" as used in the context of normally distributed data. The scope includes conceptual clarification and technical explanation related to statistical definitions and properties of the Gaussian distribution.

Discussion Character

  • Conceptual clarification
  • Technical explanation

Main Points Raised

  • One participant questions the meaning of "standard deviation of the mean value" as presented in their textbook, seeking clarification on its definition in relation to Gaussian distribution.
  • Another participant suggests that "measurements" could refer to individual data points (e.g., lengths of objects) versus a set of data (e.g., lengths of multiple objects), indicating a need for clarity on terminology.
  • A participant provides a simplified explanation of standard deviation, describing it as "the average distance from the average."
  • One participant reiterates the textbook's claim about the distribution of measurements within one standard deviation of the mean, emphasizing the graphical representation of this concept on a bell curve.

Areas of Agreement / Disagreement

Participants express uncertainty regarding the terminology used in the textbook and the implications of standard deviation in this context. There is no consensus on the interpretation of "measurements" or the specific meaning of "standard deviation of the mean value."

Contextual Notes

Participants highlight potential ambiguities in definitions and the need for clearer explanations regarding statistical terms and their applications in Gaussian distribution.

lover-of-light
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In my course textbook it is written that "approximately 68% of the measurements from a normally distributed set lie within +-1 standard deviation of the mean value".
What do they mean by standard deviation of the mean value? They give a definition for "the mean"(of a set of measurements(data)) right before talking about gaussian distribution.
Also when they say "68% of the measurements" do they use the word "measurement" as in the meaning of data(e.g. length of an object) or set of data(e.g. lenghts of objects)?
 
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You can think of the standard deviation as "the average distance from the average."
 
lover-of-light said:
In my course textbook it is written that "approximately 68% of the measurements from a normally distributed set lie within +-1 standard deviation of the mean value".
What do they mean by standard deviation of the mean value? They give a definition for "the mean"(of a set of measurements(data)) right before talking about gaussian distribution.
Here they are talking in terms of distance: roughly 68% of the measurements are within a distance of one standard deviation of the mean. If you think of a sketch of a bell curve, then when you locate
the two values \mu - \sigma and \mu + \sigma, you can say that roughly 68% of the values from that distribution is between those two values

Also when they say "68% of the measurements" do they use the word "measurement" as in the meaning of data(e.g. length of an object) or set of data(e.g. lenghts of objects)?

Answered in the first point of this reply.
 

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