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203 Answers

newest activity votes
26
What is covariance in plain language?
24
When should you center your data & when should you standardize?
20
Standard deviation of standard deviation
19
How is $\chi^2$ value converted to p-value?
18
What is the relationship between sample size and the influence of prior on posterior?
18
Do all interactions terms need their individual terms in regression model?
18
Obtaining predicted values (Y=1 or 0) from a logistic regression model fit
17
Simple linear regression output interpretation
16
What is compound symmetry in plain english?
16
Converting standard error to standard deviation?
16
Interpreting three forms of a “mixed model”
16
Does the variance of a sum equal the sum of the variances?
16
What to say to a client that thinks confidence intervals are too wide to be useful?
16
Why is expectation the same as the arithmetic mean?
15
Deriving the conditional distributions of a multivariate normal distribution
15
Exponentiated logistic regression coefficient different than odds ratio
15
Why is regression about variance?
15
What is the reason that a likelihood function is not a pdf?
15
What do statisticians do that can't be automated?
13
If $X$ has a log-normal distribution, does $X-c$ also have a log-normal distribution?
13
What is the difference between a consistent estimator and an unbiased estimator?
13
Variance partitioning and longitudinal changes in correlation with binary data
12
How do you calculate standard errors for a transformation of the MLE?
12
Correlation significant in each group but non-significant over all?
12
Should confidence intervals for linear regression coefficients be based on the normal or $t$ distribution?
12
How to write a linear model formula with 100 variables in R
12
Why does ${\rm cov}(Y_{ij}, Y_{ik}) = \sigma_u^2$ in the model $Y_{ij} = \mu + u_i + e_{ij}$?
12
Why is sample standard deviation a biased estimator of $\sigma$?
11
When is the distribution of $(\overline{x}-\mu)/{\rm SE}(\overline{x})$ normal and when is it $t$?
11
Questions about specifying linear mixed models in R for repeated measures data with additional nesting structure
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