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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
