The theoretical probability is 1. Lots of people have done it in the course of their lives so it is an event that has happened and will happen again.
That should be rather obvious as these people seem to speak in math. Computer science to theoretical mathematics.
People use probability to assess risk and make informed decisions in various fields, such as finance, insurance, and healthcare. It helps in predicting outcomes, such as the likelihood of an event occurring, which can guide strategies and planning. For example, businesses may use probability to forecast sales, while individuals might consider it when deciding whether to invest in stocks or purchase insurance. Additionally, probability plays a crucial role in scientific research and data analysis, allowing for conclusions to be drawn from uncertain information.
The branch of statistics that allows us to draw conclusions that generalize from the studied subjects to a larger population is called inferential statistics. It utilizes probability theory to make predictions and inferences about a population based on a sample. By analyzing sample data, inferential statistics helps researchers determine patterns, relationships, and potential outcomes for a broader group.
The Monty Hall Problem is an example that shows people are not always good at correctly estimating probabilities. To be fair, the problem is sometimes describedpoorly. The problem is obviously related to the theory of probability, in mathematics.
no!
people concerned with the theoretical aspects of a subject.
People collect data to gain insights, make informed decisions, identify trends/patterns, solve problems, measure performance, and improve processes. Data collection helps in understanding the past, predicting the future, and optimizing outcomes in various fields such as business, research, healthcare, and many others.
People predict so they can think about what they possible conclusions are. When you are reading a book, and predicting, you are obviously engaged in the book and you really want to know what happens. predicting helps so that what comes as the result, isn't such a big surprise.
Many people respect Nate Silver's FiveThirtyEight blog, which can be found on the New York Times website. I enclose the link. Silver is well-known for his non-partisan, and very accurate, analysis of polls and trends.
people concerned with the theoretical aspects of a subject.
predicting a hurricane can help by putting it on the news and telling people its coming so they have to leaf somewhere where its safe and where the tornado wont reach them.
Human geographers can help people by predicting natural calamities such as floods.
I am guessing SamJoe, means SAM and JOE not one person, so three people flip a coin, we have two outcomes each times, so 23= 8 possible outcomes. If you had n people, there would be 2n outcomes. For example, if two people flip there are 4 outcomes HH TT HT or TH
There are no sure and positive outcomes. Group therapy will help some people and fail with others.
Human geographers can help people by predicting natural calamities such as floods.
Oh, dude, it's like asking the difference between a taco and a burrito - they're both delicious, but they have their own unique flavors. Stochastic is more about randomness and unpredictability, while probabilistic is all about calculating probabilities and likelihoods. So, like, stochastic is the wild card at the party, and probabilistic is the one crunching numbers in the corner.