Quiz 6

• expected value of the sample mean is always equal to

  $\mu$
• standard error


  estimate of the standard deviation of the sampling distribution
• standard error describes


  how close the statistic falls to the parameter that it estimates
• standard error measures


  the variability in the values of the statistic for repeated random samples of the same size n
• standard error is the standard deviation


  of the sampling distribution of a statistic
• standard error will be reduced


  for samples with larger sample size where the samples are form the same population
• squared value of the standard error


  variance of the statistic
• standard error equation


  $\text{SE} =$$\frac{\text{s}}{\sqrt{\text{n}}}$
• a large standard error implies that


  there is a great amount of variability in the statistic; the statistic is not expected to be very close to the parameter
• as the sample size increases, the sampling distribution of the sample mean looks more like

  the normal distribution
• as the sample size increases, the data distribution looks more like

  the population distribution