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## Request

• Definition of Statistics and range applications
• Basic notions and definitions
• Population, statistical unit, Attributes
• Observations, dataset
• The concept of scale (or levels) of measurement

## Execution

Statistics is the science that manages to pull out conclusions from experimental data. A typical statistical scenario is when we want to study a really big set of something that has associated some measurable values, called attributes. This enormous set is called “population”. The statistical approach to this problems consists in selecting a reduced subset of the population, called statistical unit (or in Italian, “campione”). From this statistical unit with some observations to register the pieces of information we want to study, we can retrieve a dataset, a set of measurable values, and we can study it to pull out some valid conclusions about the whole population. An implicit hypothesis that we’ve to do is that there’s a distribution of probability of the population so that our datasets are independent values from that distribution. By also applying the result of the LCT (Limit Central Theorem) we can introduce the concept of “scale of measurement” by saying that one of the main tough points of statistical research is the size of the statistical unit: the larger is the statistical unit, the more accurate and efficient is the study.

## Insight

• Most used programming languages within VS.NET
• Main similarities, differences, and comparison of languages
• Online translator

## VS.NET

• Built for main core and infrastructure, but it can easily be ported literally everywhere
• Syntax-based on C# so is really lookalike C#, C and C++
• Object-oriented

Here is possible to find some comparisons:

Here is the online translator from .NET to C#

## Application

Discuss possible differences between .NET and C#:

• VB has no parenthesis but is important the correct indentation.
• They also have different but similar syntax.
• VB wants .net to run, C# wants csc
• C# has to be compiled, VB no.
Published inStatistics

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