定量超声（QUS）中的T-score和Z-score是什么意思
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oscar3
高级会员
回复: 定量超声（QUS）中的T-score和Z-score是什么意思
如果我没有理解错的话，你提的问题好像是医学方面的问题。corpus4u是和语言研究方面的论坛，这里虽然有很多doctor，但是除了象清风出袖那样说一声google去吧，恐怕没有什么人可以帮得上你的忙，换一个论坛可能要好一些。
第一次进这个论坛，，说实话，，还不知道怎么回事，，
也不明白自己的问题到底应该在哪个板块提，，
如果有所错误，请斑竹见谅啊。
用定量超声（QUS）骨密度测量仪测试骨密度
得出的T-score和Z-score到底有什么意义
T-score和Z-score的定义是什么，标准是什么，优点是什么，取值范围是什么，
有明确的文献资料可以参考吗？
请各位帮帮忙，，帮我指点一下吧，，急切想知道。
如果我没有理解错的话，你提的问题好像是医学方面的问题。corpus4u是和语言研究方面的论坛，这里虽然有很多doctor，但是除了象清风出袖那样说一声google去吧，恐怕没有什么人可以帮得上你的忙，换一个论坛可能要好一些。
清风出袖
高级会员
回复: 定量超声（QUS）中的T-score和Z-score是什么意思
Statistics for Corpus Linguistics (Edinburgh Textbooks in Empirical Linguistics)Michael P. Oakes
Paperback: 272 pages
Publisher: Edinburgh University Press (May 12, 1998)
Language: English
ISBN-10: 0748608176
ISBN-13: 978-0748608171
这本书里面有相关的内容，另外，杨惠中老师编的语料库语言学入门（上海外语教育出版社）也有相关的介绍可以看看。
Statistics for Corpus Linguistics (Edinburgh Textbooks in Empirical Linguistics)Michael P. Oakes
Paperback: 272 pages
Publisher: Edinburgh University Press (May 12, 1998)
Language: English
ISBN-10: 0748608176
ISBN-13: 978-0748608171
这本书里面有相关的内容，另外，杨惠中老师编的语料库语言学入门（上海外语教育出版社）也有相关的介绍可以看看。
回复: 定量超声（QUS）中的T-score和Z-score是什么意思
t stands for t test, and z stands for z test.
t is a kind of distribution similar to z distribution, while z is normal distribution(gaussion distribution), for a sample that is big enough, there is little difference between t value and z value.
if the sample is too small ,the z test will not be so reliable as t test
.
in a word, if t or z is big, it means that your hypothesis is wrong... for example, if your hypothesis is that the distribution of a random variable is normal distribution with mean u and standard variation delta , then you test a random variable , if the t is big (bigger than 2), then seems that your hypothesis is wrong--- the mean may be bigger. with high probability
t stands for t test, and z stands for z test.
t is a kind of distribution similar to z distribution, while z is normal distribution(gaussion distribution), for a sample that is big enough, there is little difference between t value and z value.
if the sample is too small ,the z test will not be so reliable as t test
.
in a word, if t or z is big, it means that your hypothesis is wrong... for example, if your hypothesis is that the distribution of a random variable is normal distribution with mean u and standard variation delta , then you test a random variable , if the t is big (bigger than 2), then seems that your hypothesis is wrong--- the mean may be bigger. with high probability