哈哈哈 确实不对啊 这个是对p值最普遍的误解了
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作者:id_rsa (等级:2 - 初出茅庐,发帖:92) 发表:2020-09-03 08:51:08  楼主  关注此帖
请教各位一个research的基本问题导师给了我一个T or F 的问题 when P is 0.001, meaning there is 1% probability that the null hypothesis is not being true. 我的理解 If P=0.01, so there is a 1% chance that the data groups have no difference while 99% of the chance that the groups have differences. So this is statistically significant as p is less than 0.05. P value is the probability of getting the results if the null hypothesis is true. So we have a 1% of getting the result if the null hypothesis is true which is no difference. 所以我的答案是 false 然后prof说不对啊,这是基本问题咋答不上来呢。正确答案是true 我之后请教队友,队友跟我理解的还是一样。。 请教了工作友人医生们,还是跟我去理解的一样啊。 难道做了一堆trials发布过N篇papers的也理解错了这个P and Ho吗? 导师还没来得及回答我问题,已经email她。今天我不死心七早八早又找了一堆basic的书,almond ans walker 就说 “the smaller the p value the smaller the likelihood that the null hypothesis is true”... 这也是跟我理解的一样啊。 是在无解,请教各位大神来看看。 -
哈哈哈 确实不对啊 这个是对p值最普遍的误解了
The p value is the probability of a result at least as extreme as the sample result if the null hypothesis were true. So a p value of 0.01 means that if the null hypothesis were true, a sample result this extreme would occur only 1% of the time.
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