PROB INTRO

• Probability is a measure of how likely an event is.
• Probability describes the level of certainty.
• The value of a probability is between zero and one.
• Probability is expressed in terms of numerical values such as fraction, decimal, or in terms of percent.
• In probability, the closer it is to 0, the less likely it is to happen.
• In probability, the closer it is to 1, the more likely it is to happen.
• Sample space(S) is a set of all possible outcomes of an experiment.
• Infinite sample space if the number in the sample space is not finite.
• Finite sample space if the number in the sample space is finite or definite.
• Semantic form is under sample space and it describes the sample space.
• Set A is the list of even numbers from 1-10. What sample space is this?

  Sample Space in Semantic Form
• Roster form is a list of set.
• () - Parentheses
• [] - brackets
• {} - braces
• Set builders Notation states a rule that dictates the value of the set.
• Event(E) is a subset of the sample space.
• {Ø} - null set
• All event is from the sample space but not all sample space is in the event.
• Simple event is an event that contains only one sample point.
• Experiment is a simple process of noting an outcome.
• Outcome is a direct measurement obtained after experiment.
• NS is a total number of events
• Random variables is denoted by x.
• Random variable is a variable determined by chance.
• Random variables is a numerical description of the outcome of a statistical experiment.
• Discrete random variable contains countable possible outcomes.
• Continuous random variable take values on a continuous Scale.
• Probability distribution is a table, graph, formula, or notation which supplies the probability of a given outcome’s occurrenc.
• The percent or the chance of an event to happen?

  Probability of an event
• use to find the coefficients of binomial expansion?

  Pascal's Triangle
• widely used in probability theory (probability of heads and tails in a toss)?

  Pascal's triangle
• “AT LEAST” – the sum of all the probabilities

  larger than and including the given probability
• “AT MOST” - the sum of all the probabilities less

  than and including the given probability