How Do You Calculate Uncertainty in Mean Difference?

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Homework Help Overview

The discussion revolves around calculating the uncertainty in the mean difference, specifically in the context of statistical analysis involving standard error of the mean (SEM). Participants are exploring how to properly account for uncertainty when determining the mean difference value.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants are questioning whether the mean difference can be simply stated as 0.16 and how to incorporate uncertainty into this value. There is discussion about whether to add SEMs directly or use a different method, with references to rules for uncertainty in addition and subtraction.

Discussion Status

There is an ongoing exploration of different methods to calculate uncertainty, with some participants suggesting the addition of uncertainties in quadrature rather than linearly. The conversation reflects a mix of interpretations regarding the appropriate approach to calculating uncertainty.

Contextual Notes

Participants are navigating the specifics of the problem setup, including the implications of the provided working space and the potential need for clarification on the definitions and methods related to uncertainty.

selsunblue
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Homework Statement



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Homework Equations



Mean difference and SEM

The Attempt at a Solution



Would the mean difference be 0.16?. I'm not sure about the answer because they give that much working space, Do I have to find the uncertainty of the difference first and then my answer implement that into my answer to be 0.16 +- (uncertainty)?. How would I calculate the uncertainty of the mean difference? Do I just add the SEM's for both means?
 
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Would the mean difference be 0.16?
Sure. The large working space is a bit odd.
Do I have to find the uncertainty of the difference first and then my answer implement that into my answer to be 0.16 +- (uncertainty)?
That is part (ii).
How would I calculate the uncertainty of the mean difference? Do I just add the SEM's for both means?
No. Use the method (hopefully) described in section 1.5.
 
selsunblue said:
Do I just add the SEM's for both means?

Here are the basic rules for uncertainty:

Addition/Subtraction
$$(A ± ΔA) + (B ± ΔB) = (A+B) ± (ΔA+ΔB)$$
$$(A ± ΔA) - (B ± ΔB) = (A-B) ± (ΔA+ΔB)$$

When dividing and multiplying, changing to relative uncertainty, then converting back simplifies things.
where: $$ε = \frac{ΔA}{A}*100$$ 'relative uncertainty'

$$(A ± ΔA) / (B ± ΔB) = (A/B) ± (ε_A+ε_B)$$
$$(A ± ΔA)(B ± ΔB) = (AB) ± (ε_A+ε_B)$$

Then you can convert back to abs. uncertainty.
 
vanceEE said:
Here are the basic rules for uncertainty:

Addition/Subtraction
$$(A ± ΔA) + (B ± ΔB) = (A+B) ± (ΔA+ΔB)$$
$$(A ± ΔA) - (B ± ΔB) = (A-B) ± (ΔA+ΔB)$$
Are you sure? I believe the uncertainties should not simply be added, but added in quadrature. That is, if
x = au \pm bv,
then
\sigma_x^2 = a^2 \sigma_u^2 + b^2 \sigma_v^2.
This comes from the basic definition: If x is a function of measured variables u, v, \ldots,
x = f(u, v, \ldots),
then,
\sigma_x^2 \approx \sigma_u^2 \left ( \frac{\partial x}{\partial u}<br /> \right )^2 + \sigma_v^2 \left ( \frac{\partial x}{\partial v} \right )^2 + \ldots \;.

I did not check your other equations.
 
Yes, in general the uncertainties should be added in quadrature, if correlations are not important.

A linear addition is sometimes used as worst case estimate to include possible correlations between the uncertainties. We take the difference between measured heights here - there is no way the uncertainties could be correlated "the wrong way" (e. g. a systematic deviation towards larger men and smaller women at the same time).
 

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