# Questions tagged [standard-error]

Refers to the standard deviation of the sampling distribution of a statistic calculated from a sample. Standard errors are often required when forming confidence intervals or testing hypotheses about the population from which the statistic was sampled.

1,440 questions
Filter by
Sorted by
Tagged with
27 views

### Calculating mean confidence intervals from a sample with low SEM

Given that: I. The distribution of means of large enough samples converge to a normal distribution (by CLT) II. The Standard Error of the Mean (SEM) of a sample approaches the Standard Deviation (SD) ...
16 views

### Different results when calculating confidence interval

I'm trying to replicate the results from a paper which states: "Estimated overall accuracy is 79.6% with a standard error of 5.1% which would yield a 95% confidence interval of 69.5% to 89.7%.&...
1 vote
20 views

### Adjust results for a systematic error

My model identifies objects with a specific quality in a large population. I tested it on a sample of 500 and found that it fails to identify about 7% of the objects (false negatives) due to some ...
19 views

### Number of samples required to get mean of unknown function up to some standard error

So I have some code simulating the behavior of a complex system. The system works perfectly (with a "fidelity" of $f=1$) for some parameter $\beta=0$. For other values of $\beta$ the ...
58 views

### Three versions of the independent two sample t-test (and R)

This post concerns three versions of the independent two sample t-test: Student's t-test uses a pooled standard deviation in the denominator (all equations are shamelessly copied from Wikipedia - ...
13 views

### Can estimated values with wide confidence intervals be used calculate association or correlation coefficients?

I want to test for an association between socioeconomic deprivation and death rates. My data are raw death counts and deprivation ranks for a set of small geographic areas. Some areas have very low ...
1 vote
45 views

30 views

### For all datasets with a binary outcome, will linear regression always yield betas with a smaller standard error compared to logistic regression?

Any cases where the betas' standard errors from logistic regression will be smaller than linear regression, after converting from log odds space to probability space?
20 views

### Compute the standard error of the difference of two coefficients from two different regressions

I am estimating two different regression discontinuity models on the same data but using two different cross-sections. I need to subtract one RD estimates from the other in order to obtain a ...
96 views

### Generalized linear mixed effects models - Poisson family with log link

When fitting a GLMM with family=poisson(link="log") in lme4, I understand that the coefficients for the estimates of ...