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lunalovehj木蟲(chóng) (小有名氣)
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[求助]
生物統(tǒng)計(jì)學(xué)問(wèn)題——試驗(yàn)結(jié)果不知道該選用什么檢驗(yàn)方法來(lái)分析顯著性差異？？
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樓主生物統(tǒng)計(jì)學(xué)知識(shí)沒(méi)學(xué)好，只會(huì)一部分SPSS，現(xiàn)在要寫(xiě)文章了，不知道該怎么去分析數(shù)據(jù)的顯著性，求蟲(chóng)友幫忙呀！�。� 圖中YY、XZ、WX分別代表不同的地方，H代表健康的三個(gè)生物學(xué)重復(fù)，I代表發(fā)病的三個(gè)生物學(xué)重復(fù)，現(xiàn)在算出來(lái)了U、D、H的指標(biāo)來(lái)，這種結(jié)果應(yīng)該用什么方法來(lái)表示顯著性呀？已經(jīng)試過(guò)two-way ANOVA和把地點(diǎn)分開(kāi)來(lái)做的獨(dú)立樣本T檢驗(yàn)，但是總覺(jué)得不能做出“平均值±標(biāo)準(zhǔn)差（顯著性標(biāo)注）”的形式，有沒(méi)有什么可以把這兩個(gè)因素都考慮進(jìn)去的方法呀，求大師指點(diǎn)了�。。� 或者說(shuō)寫(xiě)文章的時(shí)候可以先分析two-way ANOVA，再分析獨(dú)立樣本T么？因?yàn)椴恢惯@三個(gè)指標(biāo)哈，還有一些指標(biāo)，在寫(xiě)成文章的時(shí)候到底該怎么去表示呢？ 360截圖20141113213805543.jpg |
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- 兩組數(shù)據(jù)不符合正態(tài)分布，用什么方法算顯著性檢驗(yàn)？數(shù)據(jù)是關(guān)于藥物濃度的
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wizardfan
至尊木蟲(chóng) (著名寫(xiě)手)
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2樓2014-11-15 07:11:43
lunalovehj
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3樓2014-11-15 16:49:07
wizardfan
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【答案】應(yīng)助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
lunalovehj: 金幣+50, ★★★很有幫助, 感謝，仔細(xì)閱讀了！ 2014-11-17 09:44:46
lunalovehj: 金幣+50, ★★★很有幫助, 感謝，仔細(xì)閱讀了！ 2014-11-17 09:44:46
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wiki page Analysis of variance (ANOVA) is a collection of statistical models used to analyze the differences between group means and their associated procedures (such as "variation" among and between groups), developed by R.A. Fisher. In the ANOVA setting, the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are equal, and therefore generalizes the t-test to more than two groups. As doing multiple two-sample t-tests would result in an increased chance of committing a statistical type I error, ANOVAs are useful in comparing (testing) three or more means (groups or variables) for statistical significance. T-tests the most frequently used ways are: A one-sample location test of whether the mean of a population has a value specified in a null hypothesis. A two-sample location test of the null hypothesis that the means of two populations are equal. All such tests are usually called Student's t-tests, though strictly speaking that name should only be used if the variances of the two populations are also assumed to be equal; the form of the test used when this assumption is dropped is sometimes called Welch's t-test. These tests are often referred to as "unpaired" or "independent samples" t-tests, as they are typically applied when the statistical units underlying the two samples being compared are non-overlapping.[6] A test of the null hypothesis that the difference between two responses measured on the same statistical unit has a mean value of zero. For example, suppose we measure the size of a cancer patient's tumor before and after a treatment. If the treatment is effective, we expect the tumor size for many of the patients to be smaller following the treatment. This is often referred to as the "paired" or "repeated measures" t-test:[6][7] see paired difference test. A test of whether the slope of a regression line differs significantly from 0. So select the statistical method according to your situation see http://abacus.bates.edu/~ganders ... low_chart_v2014.pdf |
4樓2014-11-16 09:18:39
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