Does average mean something like "as expected"?

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Discussion Overview

The discussion revolves around the interpretation of the term "average" in relation to the concept of "as expected" within a statistical context. Participants explore the differences between mathematical definitions of expected value and informal usage of the term in everyday language, particularly in experimental scenarios.

Discussion Character

  • Debate/contested
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • A presents an experiment where the mean mass of three objects is calculated to be 2, suggesting it is special and warrants explanation.
  • B calculates the mean mass based on specific values (1, 2, 3) and concludes that this result is "as expected."
  • Some participants argue that "as expected" lacks a formal mathematical meaning and is contingent on having a baseline or context for comparison.
  • One participant notes that even with a known mean and standard deviation, an exact match in a small sample may not be considered "as expected," indicating a need for skepticism.
  • Another participant emphasizes that the expected value is a formal mathematical concept that differs from the informal use of "expected" in everyday language.
  • Concerns are raised about the necessity of including uncertainty in discussions about averages and expected values, with calls for more context regarding standard deviations.
  • Several participants highlight that the sample mean is not necessarily the same as the expected value of a distribution, especially in small samples.

Areas of Agreement / Disagreement

Participants express disagreement regarding the interpretation of "as expected," with no consensus on its meaning or application in the context of averages and expected values. Some participants believe a baseline is necessary for the term to be meaningful, while others challenge this notion.

Contextual Notes

The discussion reveals limitations in understanding the relationship between sample means and expected values, particularly in the absence of defined uncertainties or baselines. The varying interpretations of "as expected" highlight the complexity of statistical language.

Agent Smith
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TL;DR
Does average mean something like "as expected"?
A conducts an experiment. I don't know how to describe this experiment, but let's say he measures the masses of ##3## things and computes their sum. He finds that the mean mass equals ##2## units of mass. He considers this to be special in some sort of way, something that demands an explanation.

B finds out that the the masses of these ##3## things can take on the values ##1, 2, 3##. He reasons statistically that ##\mu_{mass} = \frac{1 + 2 + 3}{3} = 2## and so What A found is something one would describe as "it is as expected".

How would you respond to this?
 
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IMO, the term "as expected" does not have a formal mathematical meaning. Suppose that you knew a continuous random variable has a mean of 2 and a standard deviation of 0.5. Now suppose that a sample of 3 had an average of 2.0000000000000. I would not call that "as expected". I would start looking for some trick.
 
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Agent Smith said:
How would you respond to this?
"As expected" is, as @FactChecker pointed out, not a scientific term and more importantly, something is "as expected" (English language usage) only if one has some sort of baseline to create an expectation. With no further information other than what is given, "as expected" is meaningless.

I mean, suppose the actual normal average values for the three things being measured are 3, 8, and 10. In that case you could hardly call 2 "as expected".
 
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The mathematical meaning of "expected value" is formally defined and it is very different from the English use of "expected" in "as expected". Suppose there is a random variable based on coin tosses which gives values of -100 and 100 with equal probability of 1/2. The expected value is 0. But if that random variable ever gave an actual value of 0, that would not be "as expected". In fact, it would be impossible.
 
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Does average mean something like "as expected"?
The expected value of a measurement is based on a hypothesis. The expected value is believed to be in the interval defined by the average and the uncertainly (standard deviation) of the measurements. We might say that the average "agrees" with the expected value.

Your example here is not a realistic scenario for a discussion without an estimate of the uncertainties. What was A's standard deviation? B's statistical would be 0.7 if one thinks his data makes sense.
 
FactChecker said:
IMO, the term "as expected" does not have a formal mathematical meaning. Suppose that you knew a continuous random variable has a mean of 2 and a standard deviation of 0.5. Now suppose that a sample of 3 had an average of 2.0000000000000. I would not call that "as expected". I would start looking for some trick.
We do use the word "expected" in math, most relevantly the mean is aka expected value.

anuttarasammyak said:
I read OP that he/she has some question about expected value, ref. https://en.wikipedia.org/wiki/Expected_value , and its relation with "average". I myself have no idea how to distinguish them clearly.
Gracias for the link. As far as I can tell, the arithmetic mean is expected value.
phinds said:
"As expected" is, as @FactChecker pointed out, not a scientific term and more importantly, something is "as expected" (English language usage) only if one has some sort of baseline to create an expectation. With no further information other than what is given, "as expected" is meaningless.

I mean, suppose the actual normal average values for the three things being measured are 3, 8, and 10. In that case you could hardly call 2 "as expected".
I don't know if "baseline" is the correct word, but I think the fact that ##\frac{1 + 2 + 3}{3} = 2## gives us an idea of what we should expect from A's experiment, no?
 
Agent Smith said:
I don't know if "baseline" is the correct word, but I think the fact <eqn didn't xfer> that gives us an idea of what we should expect from A's experiment, no?
No. Read post #3 again.
 
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Agent Smith said:
We do use the word "expected" in math, most relevantly the mean is aka expected value.
"expected value" has a very precise mathematical meaning and has to be used carefully. "expected" does not have the same meaning without "value".
Agent Smith said:
Gracias for the link. As far as I can tell, the arithmetic mean is expected value.
The sample mean is not the same as the "expected value" of a random distribution. The sample mean is an estimate of the expected value of a random variable. But the sample mean (especially for small samples) may be very different from the expected value. In fact, the expected value may be a number (or even infinity) that a finite sample mean can never have.
 
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Thank you all.
 

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