Probability is used everywhere: Betting odds. Medical odds, (chance of survival or chance of side effect happening). Anywhere we calculate risks (insurances calculate premiums based on probability). Communication Networks
by determining
=Probability is used in many ways.==For example:==* gambling==*bettting odds==and anywhere in the world!=
how theory of probability used in real life
A "p" is used for probability of success. A "q" is used for probability of failure.
name two area where probability is used
by determining
=Probability is used in many ways.==For example:==* gambling==*bettting odds==and anywhere in the world!=
how theory of probability used in real life
When you toss a coin and it lands on its edge.
Factorials are a mathematics application used for combinations and permutations. The real world application of factorials are used to find the probability of certain things.
selling insurance owning a casino
Experimental probability is what actually happens in the real world. For example, if you played a game 60 times where you flip a coin and heads scores a point, theoretically you should get 30 points, right? Well, experimental probability is the actual results. In fact, your experimental probability for that game could even be 45 points scored in 60 tries. just remember: theoretical=in a perfect math world; experimental=real world results.
# of successes = probability or change total
A "p" is used for probability of success. A "q" is used for probability of failure.
name two area where probability is used
a cube because its used in the real world plus its not a polygon
Theoretical probability can be used to predict outcomes in real-world situations by applying the mathematical principles of likelihood based on known conditions. For instance, if you know that a die is fair, you can predict the probability of rolling a certain number (1 in 6). This approach is useful in various fields, such as finance for assessing risks, in sports for predicting outcomes of games, or in quality control for estimating the likelihood of defects in manufacturing. By understanding the underlying probabilities, decision-makers can make more informed choices and strategies.