Determining appropriate range from test data

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  • Thread starter Thread starter ChaoticLlama
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SUMMARY

The discussion focuses on determining an appropriate range for test data in chemistry experiments, specifically analyzing observed result times. The user recorded times ranging from 22 to 27 seconds, with an average of 25 seconds. To establish a standard range for future tests, the user seeks statistical tools for analysis. Recommendations include using a normal distribution to find the 95% confidence interval, although caution is advised as not all data fits this model.

PREREQUISITES
  • Basic understanding of statistical distributions
  • Familiarity with confidence intervals
  • Knowledge of data analysis techniques
  • Experience with statistical software or tools
NEXT STEPS
  • Research how to calculate confidence intervals using a normal distribution
  • Learn about alternative statistical distributions for non-normal data
  • Explore statistical software options like R or Python for data analysis
  • Investigate methods for determining acceptable ranges in experimental data
USEFUL FOR

Chemists, data analysts, and researchers involved in experimental design and data interpretation will benefit from this discussion.

ChaoticLlama
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Hello all.

I am performing chemistry experiments and recording the times of various observed results. What I am doing currently is performing the test several times in order to determine what result is "normal."

My goal is to determine a range as a standard by which all future tests will be compared against. I do not know the correct expected time for these results; this will be set by my experiments.

Say for example we use this test data in seconds:

22
25
26
25
25
25
26
27
24
25​

The full range of data is 22 to 27 with the average being 25, But maybe the "acceptable" range should be 25-27.

I would like to know what tools I should use to analyze this data to determine statistically what range of data should be considered normal.

Thank you.
 
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Hey ChaoticLlama.

One thing you can do is to use a distribution (i.e. a statistical one based on your sample, or if you make an assumption on the population), and look at the interval corresponding to the a/2 in each tail where 1-a corresponds to the probability that defines your interval.

A lot of people would use a normal distribution and then find the 95% interval for that distribution, but this isn't always right since not everything is always just the "default".
 

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