The word that you are looking for is "extrapolation".
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.
It is called extrapolation.
It is called EXTRAPOLATION and should only be used with great care.
Using given data to estimate a value beyond the known values is often referred to as extrapolation. This technique involves analyzing the existing data points to identify trends or patterns and then extending those trends to predict unknown values. Extrapolation assumes that the established patterns will continue in the same manner outside the range of the known data. However, it can introduce significant uncertainty, especially if the underlying relationship changes outside the observed range.
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
An estimand is the target quantity that a statistical analysis aims to estimate, while an estimate is the actual value calculated from the data to approximate the estimand. The estimand is the ideal value we want to know, while the estimate is the best guess we can make based on the available data.
When the sum of the lowest data value and the highest data value is divided by 2, the measure is called the midrange. It provides a simple average of the extremes in a data set, offering a quick estimate of its central tendency. However, it can be sensitive to outliers, as extreme values can skew the result.