Continuous distributions

A continuous distribution describes a variable that can take on any numeric value (for example, weight, age, or height).

• Univariate descriptive statistics
  Descriptive statistics provide information about the central location (central tendency), dispersion (variability or spread), and shape of the distribution.
• Univariate plot
  A univariate plot shows the data and summarizes its distribution.
• Frequency distribution
  A frequency distribution reduces a large amount of data into a more easily understandable form.
• Normality
  Normality is the assumption that the underlying random variable is normally distributed, or approximately so.
• Inferences about distribution parameters
  Inferences about the parameters of a distribution are made using a random sample of data drawn from the population of interest.