Probability and Statistics Notes on Chapter 3: Probability
Section 3.1: Basic Concepts of Probability
Uses of Probability:
Probability affects decisions when the weather is forecast, when
marketing strategies are determined, insurance, investments, when medications are
selected, winning a lottery/raffle/bet, and when players are selected for professional
sports teams, etc. Probability is the basis of inferential statistics, which grew out of using
coins, dice and cards. These types of things were found in pyramids.
is to assume probabilities have “memories.” Throwing a coin has no memory
of what is landed on previously. Another common abuse is to incorrectly add
: During the mid-1600s, a professional gambler made a lot of money on a
gambling game, he devised a new game and could not win so he contacted a
mathematician Blaise Pascal (1632-1692. Pascal became interested and began to study
probability, he corresponded with Pierre de Fermat (1601-1695), and the two formulated
the beginnings of probability theory.
Pierre Laplace (1749-1827) studied probability and
is credited with putting probability on a sure mathematical footing.
The first book written on probability,
The Book of Chance and Games,
was written by
Jerome Cardan (1501 – 1575). Cardan was an astrologer, philosopher, physician,
mathematician, and gambler. This book contained techniques on how to cheat and how to
catch others at cheating.
an action or trial through which specific results are obtained.
Example: Roll a die, flip a coin, or draw a card from a deck.
**Probability can be expressed as fractions (reduce), decimals (round to two or three
decimal places) or percentages. **
result of single trial in a probability experiment.
Example: Roll a die, and get a 4. Flip a coin and get heads.
set of all possible outcomes of a probably experiment.
Example: Roll a die and get a 1 or 2 or 3 or 4 or 5 or 6. Flip a coin and get either a Head