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A point is dimensionless. It doesn’t exist.

According to the limits presented to us by our physics, we can’t measure anything less than a plank’s length which is one over ten to the power 37 and a point isn’t even that.

Actually a point is only a property of a system of co-ordinates. It only distinguish one point in space with other but without existing (it’s imaginary). It’s as if a point in itself has no meaning in itself. If there were to exist one and only one point then there wouldn’t even be any sense to define it because all that there is is that point. It is the difference between these points that give meaning to a group/systems of points.

All we do is simply use these properties in math and physics.

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Noor Hoor

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∙ 3y ago

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What is the meaning of normalized data in data warehouse?

Data warehouses are designed for quick access to large amounts of historical data. Read operations dominate over write operations. Under these conditions, normalization takes a back seat to performance optimization. A different design methodology, called dimensional design is used when planning a data warehouse. There are two common categories of schemas used in data warehousing: star schemas and snow flake schemas. A star schema has a central fact table, surrounded by dimension tables. The fact table contains columns called measures, which are aggregated in queries. The fact table is related to the dimension tables. The dimension tables may have levels, which are implemented as columns. For example, a dimension table named Location may contain columns for Continent, Country, StateProvince and City. This dimension table is not normalized. If you normalize the dimension tables, then each level is placed in its own table. Normalizing the dimension tables results in a snow flake schema.


What is the importance of coefficient of variation?

It's a way of obtaining a measure of dispersion that is dimension-free.


What is difference between check point and save point in DBMS?

save point saves the dbms and check point simply check the database thats it simple


How can use a box-and-whisker plot to find the range of a data set?

The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.


True or false the sample mean is a point of estimate of the population mean?

Nearly true. It is a point estimate, not point ofestimate.

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