Skip to main content

All Questions

Filter by
Sorted by
Tagged with
0 votes
0 answers
14 views

When do I use standard deviation of a variable vs. error propagation of that variable when determining uncertainty?

Let's say I have 2 quantities to measure, $x$ and $y$. They do not have uncertainty but I can make repeated measurements to determine their uncertainty via standard deviation. Then say I want to find $...
user avatar
1 vote
2 answers
148 views

Relative vs. absolute error bars in log-scaled plots

There's conflicting info from seemingly knowledgeable sources about the correct way to show error bars on a log-scaled plot. $log_{10}(x \pm \Delta x)$ shows the absolute error. On the one hand, it's ...
ZachB's user avatar
  • 165
0 votes
0 answers
18 views

Combining Variation and Uncertainty from Replicate measurements

I have 3 measurements from 3 independent experiments {m_1, m_2, m_3}. I have another 3 measurements that are used to scale the m measurements {n_1, n_2, n_3} from the same experiment (different from m)...
mAthletic's user avatar
0 votes
0 answers
42 views

Calculating the uncertainty of a very complicated variable

You have taken $N \gg 1$ measurements of a group of variables $V$. You want to estimate the value of a quantity $\mu$ that can be estimated from these variables. Fortunately you have a formula $\mu(V)$...
Bml's user avatar
  • 111
1 vote
1 answer
132 views

Calculate mean and standard deviation of the ratio of two dependent variables

I have an instrument of which I would like to understand the uncertainty on the measurements taken, so that every time that I perform a single measurement, I can apply the error obtained and therefore ...
s.cerioli's user avatar
  • 111
1 vote
1 answer
475 views

Neural network regression - predicting mean and standard deviation

I have a dataset where for the same input, you get slightly varying results. In the final dataset I am using there are 4 input/output pairs for every input where the input is exactly the same but the ...
Tim Driessen's user avatar
1 vote
0 answers
32 views

How can you estimate uncertainty of a binary measurement?

I am working on an experiment which detects signals as a a function of time. There can be a trigger, but no signal (0) or a trigger with a signal (1). We are interested in how the ratio (likelihood of ...
ikempf's user avatar
  • 11
0 votes
0 answers
57 views

Standard error, standard deviation and error propagation

I measured a quantity 100 times to get 100 measurements denoted as $x_1$, $x_2$, ..., $x_{100}$, with uncertainties as $e_1$, $e_2$, ..., $e_{100}$. Now if I want to report the average of these 100 ...
Jack's user avatar
  • 71
0 votes
0 answers
28 views

When to use standard deviation versus standard error in linear error propagation

I have a question about linear error propagation. Let's say that I want to use an equation to calculate n, where n = (PV)/(RT) (eq.1) I only take one measurement of P, and one measurement of T, but I ...
Llatato's user avatar
1 vote
1 answer
17 views

Absence and presence of uncertainties in a data

In the photo attached, I am comparing the D, Ra, H, and AED values of Glutinous rice in Songkhla (see 4th to the last row) to the rest of the values. I understand why most of it has uncertainty ...
data banana's user avatar
0 votes
0 answers
28 views

Whats the best representation of variables with large uncertainty

When express results with uncertainty it's common that sometimes these uncertainty pass the limit allowed of the variable. For example, training a classificator model with an expected accuracy we ...
Ivo Tebexreni's user avatar
1 vote
0 answers
131 views

Error propagation vs standard deviation (pure statistics question, no software involved)

First off, I'm new here, so I might have posted this question at the wrong place, but I don't really know where to post it and could really use some help here. Any insight would be appreciated. My ...
Lin's user avatar
  • 43
1 vote
1 answer
138 views

Propagating uncertainties of constants in division

I have two constants, $A$ and $B$, with associated uncertainties $\sigma_A$ and $\sigma_B$, from observational errors, for example. I need to perform calculations with these constants, by for example ...
ouranos's user avatar
  • 539
1 vote
0 answers
39 views

error propagation for derivatives

I have the following problem: I have some data of a function f(x) with a set of 300 values of it associated to the same number of values of x including corresponding standard deviation σ(f) for each ...
Alexandre Masson Vicente's user avatar
1 vote
0 answers
380 views

Propagating error when taking the derivative

I have a function that corresponds to a set of $(X,Y)$ coordinates with a Gaussian uncertainty ($\sigma_Y$) for each point. What I want to do is now compute the gradient of this function and the ...
Mathews24's user avatar
  • 599
0 votes
0 answers
22 views

Expected value for max weight of two stones (given independent uncertainty in each) [duplicate]

If I have two stones A and B with estimated weights (and associated uncertainties) of A=100 +/- 5kg B=102 +/- 2kg Is there any formula (or good approximation) to compute the expected value of ...
KevinKirkpatrick's user avatar
1 vote
0 answers
95 views

Uncertainty from equation involving fitted parameters [closed]

I want to estimate the uncertainty of a calculation which involves a quantity from a fitted mathematical model. More specifically, the end calculation would be something like: P = x / A_tot where I ...
egil137's user avatar
  • 11
2 votes
0 answers
89 views

How to quantify the uncertainty in a single value obtained from a large number of simulations

Im a physics student working on a project in which I have to simulate a machine that would order a bunch of molecules according to their mass. I want to get a quantitative measure of how well the ...
Ndrach's user avatar
  • 21
1 vote
0 answers
30 views

Quantifying the precision of estimates in repeated measurements

Suppose that I have three different time-series for per capita GDPs of countries. Let $X^j_{it}$ denote the GDP estimate of country $i$ in year $t$, made by organization $j \in {1,2,3}$ (so there are ...
Abdul A. Tariq's user avatar
0 votes
1 answer
87 views

Is standard deviation an accurate measure of uncertainty when the independent variable is unchanged?

I have collected data over time for the value of a dependent variable, which depends on a non-time variable. For each measurement (with a set value for the independent variable), would it be ...
etc's user avatar
  • 125
1 vote
0 answers
209 views

Uncertainty on the standard deviation of data set, when the data points are uncertain

I have a set of four data points (x,y), and I would like to describe the spread of the data about the mean in both the x-direction and in the y-direction. Each individual data point has an uncertainty ...
Ben Donovan's user avatar
1 vote
0 answers
128 views

How can we calculate the standard deviation of multiple values with different uncertainties each?

For example, if I have a set of readings, like: 13.4 +/- 0.5 14.5 +/- 0.7 12.8 +/- 0.6 13.9 +/- 0.4 14.8 +/- 0.5 How do I calculate the standard deviation of ...
Raahish Kalaria's user avatar
1 vote
3 answers
207 views

Learning measurement uncertainty; could not find any online resources

I'm currently writing a lab report on Atwood's machine, and the gist of it is that $a=a_{g}\tfrac{\left ( m_{2}-m_{1} \right )}{\left ( m_{2}+m_{1} \right )}$. We're holding $\left (m_{2}+m_{1} \...
valsedecoconut's user avatar
4 votes
2 answers
548 views

How to approximate measurement uncertainty?

At the moment I use standard deviation of the mean to estimate uncertainty: $$\sigma_\textrm{mean}=\frac{\sigma}{\sqrt{N}}$$ where $N$ is in hundreds and mean is a time series (monthly) mean. I ...
SilentGhost's user avatar