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The answer depends on what you are trying to predict. Suppose you have a discrete random variable X with a probability density function p(X) = prob(X = x), then the expected value of a function f(X) of X is the sum of f(x)*p(x), summed over all possible values of x. For a continuous variable, the procedure is similar, except that you need to integrate rather than sum.
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What is the difference between theoretical probability and empirical probabilities?
empirical probability is when you actually experiment with it and get data values, and theoretical probability is when you use math to make an educated guess.
How can probability be used to make predictions?
Well... with what I learned from Mrs. Franks, mt math teacher, she said for weather. For example there with be a probability of 75 degrees today.
How can you make theoretical probability more accurate?
By ensuring your model is as good as it can be. Make sure that any assumptions that you make for your model are justified and, if necessary, properly reflected in the model.
Why do you need probability in real life?
Because there are many events whose outcomes cannot be determined. However, using probability it may be possible to make a good estimate as to the outcome.Because there are many events whose outcomes cannot be determined. However, using probability it may be possible to make a good estimate as to the outcome.Because there are many events whose outcomes cannot be determined. However, using probability it may be possible to make a good estimate as to the outcome.Because there are many events whose outcomes cannot be determined. However, using probability it may be possible to make a good estimate as to the outcome.
What actually occurs in a probability experiment?
In a probability experiment, various outcomes are possible and the experiment is conducted to observe which outcomes occur. The experiment is performed repeatedly to collect data and determine the likelihood or probability of each outcome happening. The results of the experiment are analyzed to understand and make predictions about future occurrences of the event.
How do you make predictions using experimental probability?
Examples like the propability for raining tommorrow will 1/2 may or may not happen probability is called possibility
What is the difference between theoretical probability and empirical probabilities?
empirical probability is when you actually experiment with it and get data values, and theoretical probability is when you use math to make an educated guess.
One can make predictions for certain events based on?
Probability's.
How can probability be used to make predictions?
Well... with what I learned from Mrs. Franks, mt math teacher, she said for weather. For example there with be a probability of 75 degrees today.
Ecologists can make predictions using ecological models?
no.
Do ecologists make predictions using ecological models?
yes they do
How do you do you increase accuracy in a theoritcal or experimental probability?
You improve your model through a better understanding of the underlying processes. Although more trials will improve the accuracy of experimental probability they will make no difference to the theoretical probability.
Ecologist can make predictions using ecological models is this true?
it is true =)
How can you make theoretical probability more accurate?
By ensuring your model is as good as it can be. Make sure that any assumptions that you make for your model are justified and, if necessary, properly reflected in the model.
When using the cover of a book to make predictions about its content you're making a?
educated guess
When using the cover of a book make predictions about its content you're making a?
Educated guess
How do scientists make predictions?
Scientists make predictions by using the scientific method, which involves forming a hypothesis based on existing knowledge and conducting experiments or observations to test the hypothesis. By analyzing the data collected from these experiments, scientists can make informed predictions about future outcomes or trends. Predictions are continuously refined and updated based on new evidence and research findings.
