一到100随机抽一个数字
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作者：Seabass (等级：2 - 初出茅庐，发帖：958) 发表：2020-09-03 13:26:51　 楼主　 关注此帖
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在 小猪123 的大作中提到：
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。 -
一到100随机抽一个数字
啪，你一下就抽到个99，你更相信这个抽取是1~100随机的，还是不随机的?
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作者：Seabass (等级：2 - 初出茅庐，发帖：958) 发表：2020-09-04 00:22:18　 2楼
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在 小猪123 的大作中提到：
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。 -
随手一查
P越小，reject的可能性越大，一句话就解释了。不可能0.01p反而才1%的可能 not true

The level of statistical significance is often expressed as a p-value between 0 and 1. The smaller the p-value, the stronger the evidence that you should reject the null hypothesis.

A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct (and the results are random). Therefore, we reject the null hypothesis, and accept the alternative hypothesis.
However, this does not mean that there is a 95% probability that the research hypothesis is true. The p-value is conditional upon the null hypothesis being true is unrelated to the truth or falsity of the research hypothesis.

A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis. This means we retain the null hypothesis and reject the alternative hypothesis. You should note that you cannot accept the null hypothesis, we can only reject the null or fail to reject it.
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