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Q: Which prediction methods are best for making long-term predictions?
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Continue Learning about Statistics

What is the meaning of making a prediction?

To make an educatedguess


What does a prediction mean?

A prediction is the strong belief that something will happen. It is said to be a true prediction if the event happens. Before the event takes place, you would have to ask the prophet/psychic making the prediction what it means. After the event, or after the prediction is proven false, you can see for yourself what it means.


Which graph is most is most useful for making predictions about dependent variables?

line graph


What does prediction mean?

By the dictionary definition a prediction is an attempt to describe a future event. The synonyms (forecast, prophecy, prognosis, prognostication, augury, projection, conjecture, guess) fall into two groups - those related to science or fact based methods (projection, prognosis, forecast and perhaps conjecture) and those based on magic and feelings (prophecy, prognostication, augury, guess)In the scientific world a prediction is made by examining the data presented by investigating a hypothesis to develop a theory. The prediction is made by imputing data to the criteria identified by the theory and is defensible.In the nonscientific world, a prediction is a wild guess made out of whole cloth based on mystic (tarot cards, tea leaves or prayer) or pseudoscientific measures (pyramid measurement, astrology, etc ) that are interpreted to say or imply that (a specified thing) will happen in the future or will be a consequence of something that almost never is realized and which cannot be defended except to "true believers"


What are the uses of statistics?

Statistics is primarily used either to make predictions based on the data available or to make conclusions about a population of interest when only sample data is available. In both cases statistics tries to make sense of the uncertainty in the available data. When making predictions statisticians determine if the difference in the data points are due to chance or if there is a systematic relationship. The more the systematic relationship that is observed the better the prediction a statistician can make. The more random error that is observed the more uncertain the prediction. Statisticians can provide a measure of the uncertainty to the prediction. When making inference about a population, the statistician is trying to estimate how good a summary statistic of a sample really is at estimating a population statistic. For example, a statistician may be asked to estimate the proportion of women who smoke in the US. This is a population statistic. The only data however may be a random sample of 1000 women. By estimating the proportion of women who smoke in the random sample of 1000, a statistician can determine how likely the sample proportion is close to the population proportion. A statistician would report the sample proportion and an interval around that sample proportion. The interval would indicate with 95% or 99% certainty that the population proportion is within that interval, assuming the sample is really random. School Grades, medical fields when determining whether something works, and marketing works

Related questions

What does it mean to make predictions?

Making a prediction means making a guess for the future by given/found facts.


Who used statistical methods in making predictions about the posit?

Aristotle


Why is it important to test predictions?

What distinguishes science from irrational belief is that scientific theories must be falsifiable. Falsifiability requires testing predictions which are made using scientific theory. A prediction that checks out adds support to the theory whereas a prediction that does not check out means that either the theory is faulty and needs modification (or scrapping), or that the theory was not used properly in making the prediction.


What are two prediction methods that can be used for making long-term forecast?

The Farmers' Almanac uses a secret mathematical formula based on the position of the planets, tidal action of the moon, and sunspots to make its predictions. A more common method is to use computer models such as generalized circulation models that may use the sea surface temperatures of the tropical Pacific to drive other predictions.


What does theories predictions and evidence mean in Science?

theory- Studying something then making a prediction. Then you study a little bit more and thinking your THEORY was right. so theory and prediction are almost the same thing. Prediction- The difference between theory and prediction is that a prediction is a guess it isn't exactly right but you think it might happen. Evidence- Is what you need to make sure your THEORY is correct.


What is the difference between descriptive statistic and inductive?

The descriptive statistics deals with prediction. The inductive and the deductive statistics basically deals with presumption. The inductive statistics is used in making predictions.


What is the disadvantage and advantage for finding patterns and making predictions?

disadvantage making predictions


When is the next tornado likely to hit?

There is no way of making such a prediction. Tornadoes are unpredictable even on a time scale of minutes. To make predictions for a location on a time scale of hours or days is impossible.


When you anticipate the results of your experiment before you begin you are making an?

prediction. :)


When this is strong can be useful for making predictions?

i believe the answer is.... A strong OBSERVATION can be useful for making predictions


What are generalizations that are useful in making predictions based on data?

Predictions


What is making predictions?

Making predictions simply means to try to guess what might happen in the future. To make predictions, one should have some knowledge of the subject.