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求: 比例检验的精确方法的详细公式

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1#
发表于 2011-11-6 05:02:25 | 只看该作者 回帖奖励 |正序浏览 |阅读模式
minitab中
单、双、多比例检验的精确方法的详细公式;
单、双Poisson率的精确计算方法的详细公式;

最好是有Excel的计算公式,标准下载统计插件升级时就会加入这些功能,方便大家使用!

重赏了,知道一个给1000金币

目前最缺单比率检验的精确算法的p值的公式, 看看谁能找到?
5#
发表于 2011-11-6 05:02:49 | 只看该作者
呵呵,估计很少有人知道这个公式的,我帮助鹰蛇老师查查吧,
4#
发表于 2011-11-6 05:02:43 | 只看该作者
这个F是指什么?
3#
 楼主| 发表于 2011-11-6 05:02:37 | 只看该作者
minitab上的看不太懂.
2#
发表于 2011-11-6 05:02:31 | 只看该作者
单比例检验的精确方法的详细公式:
Hypotheses
The null hypothesis for a 1 proportion test is: H0: p = p0 where

· p = the population proportion

· p0 = the hypothesized proportion

You can choose any one of three alternative hypotheses:

H1: p > p0
One-tailed test

H1: p < p0
One-tailed test

H1: p p0
Two-tailed test



Confidence interval
Lower limit (PL) =
n1 * F

n2 + n1 * F


where

n1 = 2x
n2 = 2 (n - x +1)
x = number of events
n = number of trials
F = lower a/2 point of F with n1 and n2 degrees of freedom

Upper limit (PU) =
n1 * F

n2 + n1 * F


where

n1 = 2 (x + 1)
n2 = 2 (n - x)
x = number of events
n = number of trials
F = upper a / 2 point of F with n1 and n2 degrees of freedom

The interval (PL , PU) is an approximate 100 (1 - a)% confidence interval of p.

Note: When x = 0 or x = N, Minitab calculates only a one-sided confidence interval.




where:

= observed probability, = x / n, where x is the observed number of events in n trials

p0 = hypothesized probability

n = the number of trials


等等....Minitab帮助里面的“另请参见”里面有详细的公式啊
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