Question

The average of the sample means is the true population mean. True or false

The sample means vary less if the sample is larger. True or false

If a variable does not follow a Normal distribution, the sample means will never be Normally distributed. True or false

If the sample size is large enough, the sample means will follow a Normal distribution. True or false

"No bias" means that the sample means are always exactly equal to the population mean. True or false

“Low variability” means that every sample will yield identical sample means. True or false

• True or False? The sample averages will be _more__ (more / less) spread out than the actual data.
  • True or False? A sample average is less variable than a single observation in the population: the variability of the sample averages is less than the standard deviation of the population.
  • True or False? The bigger the sample, the smaller the variability of the sample averages.
  • True or False? “No bias” means that every sample will yield a sample mean that is perfectly equal to the population mean.
  • True or False? “No bias” means that samples will yield sample means that are centered around the population mean, not systematically high nor systematically low.
  • True or False? “Low variability” means that every sample will yield identical sample means.
  • True or False? “Low variability” means that samples will yield sample means that are not too different from each other.

Answer 1