True or False

The accuracy of the results obtained from a sample depends on the absolute number of observations and not on the percentage of the population being sampled.

Stratified samples maximize design effects, because of the risk of homogeneity within the strata?

Stratified sampling indicates that adding strata can decrease sampling variance, but that there are diminishing returns for every stratum added to the design. Therefore it's generally better to use fewer strata?

If a sample lacks external validity, it may be representative of a sample, but not representative of the population of interest?

When computing sample size, estimates of the sample mean (x), sample proportion (p), sample variance (v), or standard error (s or small sigma) are always set to .5 because we have no way of knowing what those measures could be ahead of time.

A quota sample is always a biased sample.