Confidence intervals for two separate variables?

  • Context: Undergrad 
  • Thread starter Thread starter mikeph
  • Start date Start date
  • Tags Tags
    intervals Variables
Click For Summary
SUMMARY

The discussion centers on the statistical analysis of two separate experimental methods yielding results of 0.001 +/- 0.004 and -0.002 +/- 0.003, respectively. The participant questions whether there is a statistically significant difference between these two methods despite the overlapping standard deviations. They express confidence in the second method due to repeated trials but seek a mathematical approach to substantiate this confidence. The independent two-sample T-test is identified as a suitable statistical tool for this analysis.

PREREQUISITES
  • Understanding of independent two-sample T-test
  • Familiarity with standard deviation and confidence intervals
  • Basic knowledge of statistical significance
  • Experience with experimental design and repeatability
NEXT STEPS
  • Learn how to perform an independent two-sample T-test using Python's SciPy library
  • Study the implications of overlapping confidence intervals in hypothesis testing
  • Explore the concept of power analysis to determine sample size requirements
  • Investigate the use of effect size to quantify the difference between two methods
USEFUL FOR

Researchers, statisticians, and experimental physicists who need to analyze and compare results from different experimental methods and establish statistical significance.

mikeph
Messages
1,229
Reaction score
18
Hi

I have a certain experiment that I repeat 40 times and get the result:

0.001 +/- 0.004.

Now I've repeated the experiment using a different method (so it is essentially a new experiment) and I get a new value:

-0.002 +/- 0.003

Now, is it true to say there is no statistically significant difference between these two different methods? Even though they lie within each other's standard deviation, I think the fact that I've repeated the experiment 40 times should mean something- it makes me confident that method 2 gives a lower result. I don't know how to translate this confidence into statistical analysis though.

The fact that the means are different is clearly not sufficient to convince anyone... how can I convince someone that method 2 gives a lower result? Let's say I even repeat the experiment another 40 times and get EXACTLY the same means and standard deviations. But I know with more certainty the means are different because I've done more experiments. How do I show this using maths though (without actually having to do the experiments?).

Thanks
 
Physics news on Phys.org
Perfect. Stats really should be compulsory for undergrad physicists!
 

Similar threads

Replies
6
Views
3K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 22 ·
Replies
22
Views
4K
  • · Replies 6 ·
Replies
6
Views
4K
Replies
4
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 18 ·
Replies
18
Views
4K
  • · Replies 21 ·
Replies
21
Views
4K