![Estimating the variation around the mean: standard errors and confidence intervals – Statistical thinking for public health Estimating the variation around the mean: standard errors and confidence intervals – Statistical thinking for public health](https://carpentries-incubator.github.io/statistical-thinking-public-health/fig/rmd-02-plot%20standard%20normal-1.png)
Estimating the variation around the mean: standard errors and confidence intervals – Statistical thinking for public health
![SOLVED: Use R code please 1.(a) Generate 1,000 independent random samples from N(5,25) with sample size n = 15. For each sample, find a two-sided 95% confidence interval for the variance sigma^2 SOLVED: Use R code please 1.(a) Generate 1,000 independent random samples from N(5,25) with sample size n = 15. For each sample, find a two-sided 95% confidence interval for the variance sigma^2](https://cdn.numerade.com/previews/3676a57f-325b-4917-9808-d61318f1cd72_large.jpg)
SOLVED: Use R code please 1.(a) Generate 1,000 independent random samples from N(5,25) with sample size n = 15. For each sample, find a two-sided 95% confidence interval for the variance sigma^2
![Confidence Intervals Around a Mean: biased (non-centered) confidence interval? (an exercise using R) - Cross Validated Confidence Intervals Around a Mean: biased (non-centered) confidence interval? (an exercise using R) - Cross Validated](https://i.stack.imgur.com/HRYtN.png)
Confidence Intervals Around a Mean: biased (non-centered) confidence interval? (an exercise using R) - Cross Validated
![standard error - Correct way to combine 95% confidence interval bounds returned by a fitting routine with several measurements? - Cross Validated standard error - Correct way to combine 95% confidence interval bounds returned by a fitting routine with several measurements? - Cross Validated](https://i.stack.imgur.com/oGiug.png)