Linked Questions

9 votes
5 answers
1k views

Why is the p-value defined the way it is (as opposed to a more intuitive measure)?

As I understand it the p-value for some hypothesis H and some test-statistic T is defined as the probability of observing a test-statistic T' which is at least as extreme as T, conditional on H being ...
amarai's user avatar
  • 101
8 votes
5 answers
937 views

Can one use the p-value to perform hypothesis testing instead of comparing the test statistic to the critical value at a given significance level?

In hypothesis testing, if a question states the level of significance, which is alpha, then does it necessarily mean that we have to use the classical method? (Means finding critical value and then ...
Malaika imran's user avatar
5 votes
2 answers
448 views

Relationship of significance level and p-values

In a hypothesis test, the null hypothesis $H_0$ is rejected in favor of $H_1$ if $|\bar X|>\mu$. When tests found that $\bar x$ is the mean of the samples, a p-value is computed using $$ p=\Pr(|\...
wd violet's user avatar
  • 777
2 votes
2 answers
251 views

How do I interpret low subgroup interaction and high efficacy in only one group?

I have read several articles concerning subgroup interaction interpretation but none of them have the situation I am dealing with. Suppose we have an experiment with a control vs treatment influence ...
Boris Smirnov's user avatar
4 votes
3 answers
329 views

Does statistical power matter if we are not interested in NHST?

If we don't care about the probability of finding a real effect if there is one, AKA a statistically significant finding, why care about statistical power and power calculations? I mean there are ...
user177098's user avatar
6 votes
1 answer
560 views

How does Fisher calculate his $p$-value?

After reading a lot of great answers on the topic of Fisherian versus Neyman & Pearson, I still cannot understand how Fisher carries out his test. Here is my understanding of his workflow: ...
nalzok's user avatar
  • 1,817
8 votes
2 answers
514 views

Effects of model selection and misspecification testing on inference: Probabilistic Reduction approach (Aris Spanos)

This question is about pre-test bias, inference after model selection and data snooping within the Probabilistic Reduction (PR) methodology by Aris Spanos (which is related to the Error Statistics ...
Richard Hardy's user avatar
4 votes
2 answers
181 views

Significant variable and very low R-squared [duplicate]

I'm testing if economic growth before an election is correlated with vote percentage in elections. So I have one independent variable in my model. The problem is: my independent variable is ...
Sina Alvandi's user avatar
0 votes
1 answer
249 views

Is p-value involved in Neyman-Pearson Testing procedure?

It seems to me that, after having a predetermined level of significance, the Neyman-Pearson approach only requires to see if the observed $x$ lies in the rejection region or not. In this case, how can ...
user28363's user avatar
2 votes
1 answer
113 views

Testing a nonstandard hypothesis: constructing test statistic, finding rejection region and obtaining $p$-value

I have a sample of size $n=1$ (a single observation $x_1$) from a random variable $X\sim N(\mu,\sigma^2)$. The variance $\sigma^2$ is known, but the expectation $\mu$ is unknown. I would like to test ...
Richard Hardy's user avatar