Q: To use given data to estimate a value beyond?

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It is the data value that is observed most often.It is the data value that is observed most often.It is the data value that is observed most often.It is the data value that is observed most often.

The upper quartile is the value such that a quarter of the data are greater than that value. Similarly, the lower quartile is the value such that a quarter of the data are lower than that value.

Data Point

The minimum data value in a data set is simply the lowest value of the set (easily found by arranging the set from lowest-highest values in an excel sheet or by hand).

Primary data.

Related questions

It is called extrapolation.

It is called EXTRAPOLATION and should only be used with great care.

interpolation

Information is the form of data that is organized and presented in a manner that has additional value beyond the value of the data itself.

models

extrapolate

Both median and mode are the statistics formulas, Median is called mid value of the given data and mode is the value which occure repetedly in the given data.

It means to decide what the next thing would be based on the things you already know. For example, if you had a linear equation (a graph where the line is completely straight) and you knew three points, you would be able to use the three points (the known values) to figure out what the fourth or fifth points (the value you are estimating) would be based on the space between each point (the given data).It is called extrapolation (or forecasting) and is usually subject to quite large errors.

The range is the maximum value in a given data minus its minimum value

the data value that is much higher or lower than the other data given is called an outlier

Type, name and initial value. If a value is not given and the type supports default construction, a default value is assigned.

It means to estimate a function value, based on nearby values.For example: let's assume you know that root(20) = 4.4721 (i.e., the square root of 20), and root(21) = 4.5826. If you want the root of 20.5, you can estimate this to be the average of these two, or about 4.5274. This assumes that in the graph of square roots, drawing a straight line between the two extremes is a good approximation. In this example, the exact value (rounded to four decimals) is 4.5277. Note: The term "interpolation" is used if you estimate a value BETWEEN two given values; if you use similar methods to estimate a value OUTSIDE the two given values, the term "extrapolation" is used instead.