Statistics Programming – Easing the Pain

Different sets of software are being developed everyday just to ease man with some of his technical works such as in the field of business. These programs are specially designed to make high speed calculations and analysis of the data and come up with a soft copy of information output that can be used instantaneously after the software processes it. Statistics is one of the most complicated clerical works of anyone who is studying or working in the field of economics, politics and even social matters. Statistics is deemed to be of importance because it gives a type of descriptive conclusion or interpretation that can be very precise depending upon the quality of data that has been gathered and the competence that is given to organize, interpret and represent that data. But even with the level of competence that a person has with regards to his statistical skills, there is still a probability that a miscalculation might be made and alter the holistic outcome of the statistics.

However, because of the rapid advancements of technology and the evolution of the functions that can be performed by the humble computer software developers has come up with a certain software program that can make ease any statistician of all their statistical tasks. The development of a program that is able to perform the task of organizing and interpreting statistical data was q revolutionary breakthrough when it comes to statistical analysis help. Statistics programming is defined as the systematic calculation of all the numerical data that has been downloaded into the system wherein it is organized basing upon the categories. These categories are classified upon the nature of the data that has been downloaded. After the process of organizing the data, it will be then interpreted numerically. This function of statistical programming helps to lessen the burden of work and also to maximize the output of a statistician.

Statistical program is composed of sets of languages. There are a total of 17 categories in a statistical program and these are the following;
• Analytica, ADMB
• Gretl, GAUSS
• Mathematica
• OxMetrics
• Quantum (Programming Language)
• Programming Language, SPSS, Symbolic Data Analysis, Sysquake, SAS (software and language), Speakeasy(Computation), SHAZAM (Software)
• World Programming System
• XLispStat

Each of these categories of Statistics Programs has their own unique sets of functions. Each one of it is capable of performing specific functions about statistics. The MATRIX LAB is one of the statistics programs that are widely used today. It is a program that is provided by a certain company that is said to be fully capable of solving ad coming up with solutions with regards to any mathematical or numerical problems that are fed into it. The MATLAB assignment helps not only statistics but also other aspects that majorly require the use of mathematical equations and solving. Because of these software programs, statisticians are given more time to pay attention to other details of the data and leave the organization and the interpretation of it to the statistics software.

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Black and White Photography As a Statement in the Art World

Black and white photography, or monochrome photography, occupies a unique place in the world of art and the visual media. It has been around for almost two centuries now, and it still has a little bit of down-looking from the art world. Even though the monochromatic tradition has been around for a couple of centuries, it can be traced back to 6000 years in history when we start to take ink and carbon works into the wider frame. In terms of art itself, photography is very young, so it is just a mere matter of time for it to be excelled into a greater state in the art world.Here is a great fact that will help answering the question why many people diverge between choosing color or monochrome in their work: monochrome photography enhances composition, therefore it gives a stronger message by subtracting the distraction that color inherently has.Composition is a much more complex concept that goes beyond the very well-known rule of thirds. Elements in composition include the following:· Lines· Shapes· Forms· Simplification· Negative space· RhythmAll of these elements aid the photographer to compose a message into a much more pleasant or aesthetic view of reality. The message is something that only exists in the fraction of a second the photographer decides to include into his camera settings. The message is part of the moment that the photographer decides to capture. Therefore, the message is presented better rather the realism that accurate color can render. Color photography is great for many purposes, but when talking about message, its instant punch is quite softer than when it is presented to the viewer in a monochromatic format. The much accepted theory behind this statement, is that color pretends to achieve a greater grade of realism, and that black and white turn apart and pretend to see things differently, and by removing color we have:

Something different from reality

A greater message by removing the distraction that color gives
Another magnificent aspect about black and white photography, is that it has been a very democratic and almost generous medium. Developing black and white film is a work of art and creativity in a much larger scale if compared to color film. The thing is that black and white film can resist much more severe changes in the development procedure (temperature, time of development, time of fixation, etc.) and color film is much more precise work, it is a more delicate chemistry if you like to view into the chemical line. And this was somehow inherited in the digital format by allowing black and white photography to endure more extreme settings when contrasting than color photography. Color photography starts to get weird looks much earlier than black and white when cranking up the controls in RAW development. Even with printing, black and white photography has a richer history than color photography thanks to papers and printing processes.