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Conclusions I. A curve has been found representing the…

“Conclusions I. A curve has been found representing the frequency distribution of standard deviations of samples drawn from a normal population. II. A curve has been found representing the frequency distribution of values of the means of such samples, when these values are measured from the mean of…” quote by William Sealy Gosset
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“Conclusions I. A curve has been found representing the frequency distribution of standard deviations of samples drawn from a normal population. II. A curve has been found representing the frequency distribution of values of the means of such samples, when these values are measured from the mean of the population in terms of the standard deviation of the sample... III. Tables are given by which it can be judged whether a series of experiments, however short, have given a result which conforms to any required standard of accuracy or whether it is necessary to continue the investigation.”

William Sealy Gosset

About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

The passage outlines how curves of sample means and deviations help assess experimental accuracy and decide continuation.

In simple terms: Statistical curves guide experiment evaluation.

Key Takeaway

Use statistical analysis to judge results.

Themes

statistics experiment accuracy normal distribution analysis

Mood

analytical methodical critical

Type

Accuracy:1 Conclusion:1 Conform:0 Correlation:0 Curves:1 Deviation:1 Distribution:1 Experiments:1 Found:0 Frequency:1 Given:0 Has beens:0 Investigation:1 Judged:0 Mean:1 Normal:1 Population:1 Representing:0 Results:1 Sample:1 Series:0 Standards:1 Tables:1 Term:0 Values:1 Standard Deviations:1 Standard Deviation:1 Deviations Samples:0 Frequency Distribution:1 Deviation Sample:0

When to use this quote

  • lab testing
  • clinical trials
  • research design
  • data monitoring

Key Concepts

confidence intervals sample theory quality control

Questions to Reflect On

  • How do you decide when to stop an experiment?
  • What limits exist in using normal theory?
A Different Perspective

Statistical assumptions may not hold.

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