Small sample sizes in an experiment
A)biases the estimators of the causal effect.
B)may pose a problem because the assumption that errors are normally distributed is dubious for experimental data.
C)do not raise threats to the validity of confidence intervals as long as heteroskedasticity-robust standard errors are used.
D)may affect confidence intervals but not hypothesis tests.

Question

Quizplus · Accepted Answer

Small sample sizes can make the assumption of normally distributed errors less reliable, especially in experimental data where the central limit theorem may not yet apply. This can affect the validity of statistical inferences.

Small Sample Sizes in an Experiment