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”...