Linked Questions

10
votes
1answer
121k views

“Accept null hypothesis” or “fail to reject the null hypothesis”? [duplicate]

I'm trying to conduct a Student's t-test for a table of values while trying to follow the explanation and details found on this website. I understand that if the p-value is <.01 then it's really ...
0
votes
2answers
2k views

Can a null be inconclusive? [duplicate]

My Null for the T-test is h0: -tcritical < Tstat < +tcritical I would like a confidence level of 95%. If my empirical result satisfies the null, but not my confidence requirements (the p ...
-1
votes
1answer
218 views

Hypothesis Testing terminology [duplicate]

I am studying now Hypothesis Testing. I use for it book High-Yield Biostatistics, Epidemiology, and Public Health and videos of Brandon Foltz (recommending these ...
1
vote
0answers
41 views

How to test hypotheses properly? [duplicate]

I have a homepage which I would like to change in some ways. I would like to place a commercial banner on it Ha. In this regard, I dont want the change to affect ...
0
votes
0answers
38 views

Confidence interval for odds ratio only just containing 1 [duplicate]

If I have an odds ratio of 1.2 say between group A and group B but a confidence interval of (0.99,1.5) which only just about contains 1. Can I make the conclusion that there is no association between ...
1
vote
0answers
27 views

Setting the conventional null hypothesis as the alternative? [duplicate]

I am a bit confused on assigning null and alternative hypotheses. For example in comparing 2 interventions, conventionally, null hypotheses are usually stating that there are no differences in ...
0
votes
0answers
24 views

Is it appropriate to use paired t-test for comparing two means from the same sample obtained from two different methods? [duplicate]

I want to determine if method A provides the same results as method B. I obtain 2 sets of measurements using both method A and B. I therefore have 2 means that I want to compare using the paired t-...
59
votes
13answers
15k views

If we fail to reject the null hypothesis in a large study, isn't it evidence for the null?

A basic limitation of null hypothesis significance testing is that it does not allow a researcher to gather evidence in favor of the null (Source) I see this claim repeated in multiple places, but I ...
35
votes
7answers
6k views

Why is the null hypothesis often sought to be rejected?

I hope I am making sense with the title. Often, the null hypothesis is formed with the intention of rejecting it. Is there a reason for this, or is it just a convention?
37
votes
8answers
18k views

Is it possible to prove a null hypothesis?

As the question states - Is it possible to prove the null hypothesis? From my (limited) understanding of hypothesis, the answer is no but I can't come up with a rigorous explanation for it. Does the ...
35
votes
4answers
3k views

Justification of one-tailed hypothesis testing

I understand two-tailed hypothesis testing. You have $H_0 : \theta = \theta_0$ (vs. $H_1 = \neg H_0 : \theta \ne \theta_0$). The $p$-value is the probability that $\theta$ generates data at least as ...
23
votes
5answers
19k views

Now that I've rejected the null hypothesis what's next?

I've time and again rejected or failed to reject the null hypothesis. In the failure to reject case, you conclude that there isn't sufficient evidence for rejection and you "move on" (i.e., either ...
14
votes
2answers
11k views

GLM: verifying a choice of distribution and link function

I have a generalized linear model that adopts a Gaussian distribution and log link function. After fitting the model, I check the residuals: QQ plot, residuals vs predicted values, histogram of ...
9
votes
7answers
984 views

If all 1000 test patients are not cured by the drug, can't we say that we accept the null hypothesis?

In many places I have read that we can never say that we "accept" the null hypothesis. Instead we must say that we "fail to reject" the null hypothesis. But I don't see how that squares with this ...
8
votes
2answers
26k views

How to use the chi-squared test to determine if data follow the Poisson distribution

The figure below (Figure 1 from p. 646 of this paper) compares observed values against expected values under the Poisson distribution. It then runs a chi-squared test to see if the observed values ...

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