Lesson 1

• Element is the source of relevant information or data such as an individual, entity, or population unit.
• Variable is the characteristic or property of the element.
• A random variable is a variable being measured to produce numerical observations associated with the random outcomes of a chance experiment.
• Discrete Random Variables are random variables where the observed numerical value are produced by counting and assumes whole numbers only.
• Continuous Random Variables are random variables where the observed numerical values are results of measuring and may take on any numbers contained within any numerical intervals.
• Probability Distribution - A tabular representation of a distribution

  of probability of a random variable occurring.
• The sum of all the probabilities of each event occurring is one (1), that is,

  E P(x) = 1.
• The probability in each event for a random variable is between 0 and 1.

  That is, 0 ≤ P(x) ≤ 1.
• To represent the probability distribution in graphical form, a histogram

  will be used.
• In a histogram it is constructed by assigning the probability values on the vertical grid.
• In a histogram it is constructed by Assign the discrete random variable (x) on the horizontal grid.