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When asked to explain the meaning of "the p-value was 0.03," a student says, "this means there is only probability 0.03 that the null hypothesis is true." is this an essentially correct explanation?

Respuesta :

NO this is not a good explanation
p values do not measure the probability

p values gives us the likely of our data if we assumed that our null hypothesis is true. this therefore means that if our null hypothesis was true we would obtain a difference in 0.03 in the study carried out
shubhamchouhanvrVT

No this is not good explanation p values do not measure the probability.

What is the P-value?

In hypothesis testing, a p-value is used to assist you to accept or reject the null hypothesis. The p-value serves as oppositional evidence to the null hypothesis.

p values give us the likelihood of our data if we assumed that our null hypothesis is true. this, therefore, means that if our null hypothesis was true we would obtain a difference of 0.03 in the study carried out.

Therefore P-value is not exactly a probability.

To know more about the P-value follow

https://brainly.com/question/4621112

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