One way is to use a computer. A simple theoretical model would be to say a population increases in size by 10% every 5 years. But every 15 years there is a plague of some sort that removes 3% of the population. But every 23 years such a plague doesn't just remove some of the population, it also makes 54 % of the remainder infertile.
Set up a formula for all this and put it into the computer, which would then come up with a theoretical model of the population for whichever year you chose.
They are the same. They are probabilities that are calculated from some theoretical model of the experiment using scientific laws.They are the same. They are probabilities that are calculated from some theoretical model of the experiment using scientific laws.They are the same. They are probabilities that are calculated from some theoretical model of the experiment using scientific laws.They are the same. They are probabilities that are calculated from some theoretical model of the experiment using scientific laws.
Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.
The theoretical model does not accurately reflect the experiment.
When there is a good theoretical model for the experiment and the model allows you to identify all the factors affecting the outcome and determine their impact on the outcome. Even if you cannot identify all the factors, you can still use theoretical probability but the predictions from your model will be less reliable. Econometrics is a good example of using theoretical probability based on an incomplete understanding of the model.
it is the theoretical foundation of a database which fundamentally
As the number of times that the experiment is conducted increases, the experimental probability will near the theoretical probability - unless there is a problem with the theoretical model.
In theoretical probability, the probability is determined by an assumed model (for example, the normal distribution). (compare with empirical probability)
It helps you to design a database. It is a theoretical idea of what it will be like. There are different models than can be used, such as relational or network or hierarchical. Some are better suited to some kinds of databases. Using the model helps people to design and build better databases.
The theoretical probability provides a model for predicting the outcome of trials. You then carry out a number of trials. Compare the outcome of your trials with the results predicted by the theoretical model. The comparison will usually involve "hypothesis testing", a branch of statistics. This is a method to test how likely the actual outcomes are if the theoretical probabilities were true. The exact nature of the test will depend on the theoretical basis and so the answer cannot be simplified.
Options are valued using a theoretical model known as the "Black Scholes Model". The black scholes model prices options based on what are known as "Greeks", which are mathematical parameters of variables that influences the price of an option. However, this is a theoretical model because it cannot take into consideration the actual supply and demand of an option in the market and such forces does take the price of an option away from their theoretical value.
You build it.
at cassy's model and art compannies or i will build a model for you