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Test μ 1 verses μ 2, Variances Unknown

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 149))

Abstract

We have two populations: Pop I and Pop II. Pop I is normally distributed with unknown mean μ 1 and unknown variance σ 21 . Pop II is also normally distributed with unknown mean μ 2 and unknown variance σ 22 . We wish to do the following statistical test

$$\mathop H\nolimits_0 :\mathop \mu \nolimits_1 - \mathop \mu \nolimits_1 = 0$$
(17.1)

verses

$$\mathop H\nolimits_0 :\mathop \mu \nolimits_1 - \mathop \mu \nolimits_1 \ne 0$$
(17.2)

We collect a random sample of size n 1 from Pop I and let \({{\bar{x}}_{1}}\) be the mean for this data and s 21 is the sample variance. We also gather a random sample of size n 2 from Pop II and \({{\bar{x}}_{2}}\) is the mean for the second sample with s 22 the variance. We assume these two random samples are independent.

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References

  1. R.V.Hogg and E.A.Tanis: Probability and Statistical Inference, Sixth Edition, Prentice hall, Upper Saddle River, N.J., 2001.

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  2. Maple 6, Waterloo Maple Inc., Waterloo, Canada

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© 2004 Springer-Verlag Berlin Heidelberg

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Buckley, J.J. (2004). Test μ 1 verses μ 2, Variances Unknown. In: Fuzzy Statistics. Studies in Fuzziness and Soft Computing, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39919-3_17

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  • DOI: https://doi.org/10.1007/978-3-540-39919-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05924-7

  • Online ISBN: 978-3-540-39919-3

  • eBook Packages: Springer Book Archive

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