Interpolation
It is called extrapolation.
They are called the quartiles. The middle one is also known as the median.
The use of given data to estimate a value between known values is commonly referred to as interpolation. This technique allows us to predict unknown values by leveraging the relationship between known data points, usually assuming a certain degree of continuity or linearity. Interpolation is widely used in fields such as mathematics, engineering, and statistics to make informed decisions based on available information, enabling more accurate modeling and forecasting. By employing methods like linear interpolation or polynomial interpolation, we can derive estimates that fill in gaps in our data sets.
absoute values
It is known as the domain.
If you know the two values you shouldn't have to estimate. But you are looking for the mean, or average. Simply add them together and divide by two. Otherwise you are just estimating.
hdheheh
interpolation
The values are said to have negative correlation.Values that change regularly at matching rates are said to be inversely proportional.
The fraction of total radiation reflected by a surface is known as its albedo. It is expressed as a value between 0 and 1, with higher values indicating greater reflectivity and lower values indicating lower reflectivity.
It is called extrapolation.
They are called the quartiles. The middle one is also known as the median.
BHARGAV is not a known english term and you have asked what is the difference. The difference between what & what would have to be know terms/ values.
The individual values that are on the chart itself are known as points or data points. A group of related values together make up a series.
A gap between plates is commonly known as a clearance or a spacing.
It is called EXTRAPOLATION and should only be used with great care.
A range specified within a function is known as an argument. The pieces of information that functions require are all known as arguments. These can include ranges or other values.