central limit theorem
large samples will approximate the normal distribution
correction for continuity
a correction employed when a continuous distribution is used to approximate a discrete distribution
negatively skewed distribution
asymmetric distribution in which the majority of the data is concentrated to the right of the mean
normal distribution
function that represents the distribution of variables as a symmetrical bell-shaped graph sometimes called bell curve or Gaussian curve
positively skewed distribution
asymmetric distribution in which the majority of the data is concentrated to the left of the mean
sampling distribution of sample means
distribution of the means computed from random samples taken from a population
sampling error
an error that occurs when a sample somehow does not represent the target population
standard error of the mean
the standard deviation of the sample means for samples taken from the same population
standard normal distribution
normal distribution with a mean of 0 and a standard deviation of 1
symmetric distribution
a distribution whose shape is unimodal and each side is roughly a mirror image of the other
z score or standard score
number of standard deviations a value is above or below the mean set of numbers
central limit theorem
large samples will approximate the normal distribution
correction for continuity
a correction employed when a continuous distribution is used to approximate a discrete distribution
negatively skewed distribution
asymmetric distribution in which the majority of the data is concentrated to the right of the mean
normal distribution
function that represents the distribution of variables as a symmetrical bell-shaped graph sometimes called bell curve or Gaussian curve
positively skewed distribution
asymmetric distribution in which the majority of the data is concentrated to the left of the mean
sampling distribution of sample means
distribution of the means computed from random samples taken from a population
sampling error
an error that occurs when a sample somehow does not represent the target population
standard error of the mean
the standard deviation of the sample means for samples taken from the same population
standard normal distribution
normal distribution with a mean of 0 and a standard deviation of 1
symmetric distribution
a distribution whose shape is unimodal and each side is roughly a mirror image of the other
z score or standard score
number of standard deviations a value is above or below the mean set of numbers