Linked Questions

11
votes
3answers
6k views

What does a confidence interval (vs. a credible interval) actually express? [duplicate]

Possible Duplicate: What, precisely, is a confidence interval? Yes, similar questions have been asked before, but many of the answers seem contradictory and don't address my issue. (Or my ...
2
votes
1answer
665 views

What is the fundamental confidence interval fallacy? [duplicate]

Beginner question here. I've read (see this paper) that when computing confidence intervals if you get a given interval with a confidence level of 95%, then it is a fallacy to think that the true ...
5
votes
1answer
253 views

Boston University School of Public Health web page on confidence intervals [duplicate]

I'm wondering about the correctness of the Boston University School of Public Health's web page on confidence intervals, particularly the interpretations. For example, specific interpretation ...
3
votes
1answer
227 views

How to correctly understand confidence intervals and confidence level [duplicate]

I recently read an online discussion about confidence levels and confidence intervals. To be honest, I'm confused. What's the bottom line there? For a specific statement, say, Foobar is 3.45 (...
0
votes
1answer
96 views

Confidence interval deeper explanation? [duplicate]

I have some data on a drug where doctors are trying to find out based on collected data how many patients get heart disease because of a drug. The output is the following: 95%CI 1.72(1.28-2.30) for ...
2
votes
0answers
75 views

Confidence Intervals Intuition [duplicate]

I am new to statistics and have run into some trouble understanding computing confidence intervals and am seeking some help. I will outline the motivating example in my textbook and hopefully someone ...
0
votes
0answers
30 views

having trouble interpreting confint function using R (logistic regression) [duplicate]

I'm trying to interpret these results of using R confint function , but I can not understand. This is a logistic regression about breast cancer. how to interpret confint function. What the 2.5% and 97....
228
votes
12answers
68k views

Why does a 95% Confidence Interval (CI) not imply a 95% chance of containing the mean?

It seems that through various related questions here, there is consensus that the "95%" part of what we call a "95% confidence interval" refers to the fact that if we were to exactly replicate our ...
47
votes
14answers
5k views

Clarification on interpreting confidence intervals?

My current understanding of the notion "confidence interval with confidence level $1 - \alpha$" is that if we tried to calculate the confidence interval many times (each time with a fresh sample), it ...
82
votes
6answers
9k views

Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals

A recent question on the difference between confidence and credible intervals led me to start re-reading Edwin Jaynes' article on that topic: Jaynes, E. T., 1976. `Confidence Intervals vs Bayesian ...
25
votes
7answers
45k views

What's the difference between a probability and a proportion?

Say I have eaten hamburgers every Tuesday for years. You could say that I eat hamburgers 14% of the time, or that the probability of me eating a hamburger in a given week is 14%. What are the main ...
12
votes
3answers
46k views

How to choose a confidence level?

I often use a 90% confidence level, accepting that this has a greater degree of uncertainty than 95% or 99%. But are there any guidelines on how to choose the right confidence level? Or guidelines ...
18
votes
4answers
3k views

How is the bayesian framework better in interpretation when we usually use uninformative or subjective priors?

It is often argued that the bayesian framework has a big advantage in interpretation (over frequentist), because it computes the probability of a parameter given the data - $p(\theta|x)$ instead of $p(...
8
votes
3answers
4k views

Bayesian AB testing

I am running an AB Test on a page that receives only 5k visits per month. It would take too long to reach traffic levels necessary to measure a +-1% difference between the test and control. I have ...
3
votes
3answers
705 views

Can you say that confidence intervals measure worst case and best case?

Suppose that I make a point estimate, 0.7, with a 90% CI: [0.6, 0.8]. Can I say that in the worst case, the true parameter is 0.6 and in the best case it's 0.8?

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