students t test and beyond

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I am trying to get a good sense of exactly what gossett (students t) did and exactly what fisher and others did. From what I have been able to research it seems that Gossett gets credit for the t statistic, and fisher gets credit for significance testing. But what exactly did Gossett do with his t test? did he find probabilites, I assume via the normal distribution? did he make conclusions with that? i.e with a t value of 2.8 and n=30 did he conclude that would have been rare and hence 'different' without using the word significance? I cannot get a clear sense of his total contribution. can anybody clarify?










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  • Both Fisher and Gossett made important contributions, but both built on previous work. Some accounts say that Gossett derived the distribution of the t statistic; some say he was the first to do so. Perhaps his major contribution was a practical application of that information to an industrial situation, thus (eventually) drawing attention to the need to account for variability in both sample mean $bar X$ and sample standard deviation $S$ in making inferences from small samples.
    – BruceET
    Sep 1 at 7:28















up vote
0
down vote

favorite












I am trying to get a good sense of exactly what gossett (students t) did and exactly what fisher and others did. From what I have been able to research it seems that Gossett gets credit for the t statistic, and fisher gets credit for significance testing. But what exactly did Gossett do with his t test? did he find probabilites, I assume via the normal distribution? did he make conclusions with that? i.e with a t value of 2.8 and n=30 did he conclude that would have been rare and hence 'different' without using the word significance? I cannot get a clear sense of his total contribution. can anybody clarify?










share|cite|improve this question























  • Both Fisher and Gossett made important contributions, but both built on previous work. Some accounts say that Gossett derived the distribution of the t statistic; some say he was the first to do so. Perhaps his major contribution was a practical application of that information to an industrial situation, thus (eventually) drawing attention to the need to account for variability in both sample mean $bar X$ and sample standard deviation $S$ in making inferences from small samples.
    – BruceET
    Sep 1 at 7:28













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I am trying to get a good sense of exactly what gossett (students t) did and exactly what fisher and others did. From what I have been able to research it seems that Gossett gets credit for the t statistic, and fisher gets credit for significance testing. But what exactly did Gossett do with his t test? did he find probabilites, I assume via the normal distribution? did he make conclusions with that? i.e with a t value of 2.8 and n=30 did he conclude that would have been rare and hence 'different' without using the word significance? I cannot get a clear sense of his total contribution. can anybody clarify?










share|cite|improve this question















I am trying to get a good sense of exactly what gossett (students t) did and exactly what fisher and others did. From what I have been able to research it seems that Gossett gets credit for the t statistic, and fisher gets credit for significance testing. But what exactly did Gossett do with his t test? did he find probabilites, I assume via the normal distribution? did he make conclusions with that? i.e with a t value of 2.8 and n=30 did he conclude that would have been rare and hence 'different' without using the word significance? I cannot get a clear sense of his total contribution. can anybody clarify?







probability statistics normal-distribution math-history






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edited Sep 1 at 7:22









BruceET

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asked Sep 1 at 2:55









GKJohn

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  • Both Fisher and Gossett made important contributions, but both built on previous work. Some accounts say that Gossett derived the distribution of the t statistic; some say he was the first to do so. Perhaps his major contribution was a practical application of that information to an industrial situation, thus (eventually) drawing attention to the need to account for variability in both sample mean $bar X$ and sample standard deviation $S$ in making inferences from small samples.
    – BruceET
    Sep 1 at 7:28

















  • Both Fisher and Gossett made important contributions, but both built on previous work. Some accounts say that Gossett derived the distribution of the t statistic; some say he was the first to do so. Perhaps his major contribution was a practical application of that information to an industrial situation, thus (eventually) drawing attention to the need to account for variability in both sample mean $bar X$ and sample standard deviation $S$ in making inferences from small samples.
    – BruceET
    Sep 1 at 7:28
















Both Fisher and Gossett made important contributions, but both built on previous work. Some accounts say that Gossett derived the distribution of the t statistic; some say he was the first to do so. Perhaps his major contribution was a practical application of that information to an industrial situation, thus (eventually) drawing attention to the need to account for variability in both sample mean $bar X$ and sample standard deviation $S$ in making inferences from small samples.
– BruceET
Sep 1 at 7:28





Both Fisher and Gossett made important contributions, but both built on previous work. Some accounts say that Gossett derived the distribution of the t statistic; some say he was the first to do so. Perhaps his major contribution was a practical application of that information to an industrial situation, thus (eventually) drawing attention to the need to account for variability in both sample mean $bar X$ and sample standard deviation $S$ in making inferences from small samples.
– BruceET
Sep 1 at 7:28
















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