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