Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
A confidence interval is an interval that covers an unknown parameter with $100(1-\alpha)\%$ confidence. Confidence intervals are a frequentist concept. They are often confused with credible intervals which is the Bayesian analog.
0
votes
0
answers
58
views
Interpretation of 95% confidence interval [duplicate]
I have a trouble understanding the concept/interpretation of confidence interval. It is commonly said that if I construct a hundred of 95-percent-confidence-intervals, then it is expected that 95 of t …
0
votes
0
answers
38
views
Central Limit Theorem and Confidence Interval
Let $\{X_n\}_n$ be a sequence of i.i.d. RV's, where each $X_n$ is a copy of RV $X: \Omega \rightarrow \mathbb R$. For $n > 0$, I can define $\bar X_n := \frac{1}{n}\sum_{i=1}^n X_i$. Then, central lim …
0
votes
0
answers
29
views
Meaning of 95% confidence interval [duplicate]
If I take a 95% confidence interval $I_k$, then it means that if I sample 100 confidence intervals $\{I_1, \cdots, I_{100}\}$, then it is expected that 95 of $I_k$'s contain the true parameter. Of cou …
2
votes
1
answer
79
views
Are these two definitions of a 95% confidence interval equivalent?
A definition that I am aware of is interpreted as follows.
Given a fixed probability parameter $\theta$, if I construct $100$ confidence intervals $\{I_1, \cdots, I_{100}\}$, then it is expected that …