Some Thoughts on Statistics and the Language of Statistics

We live in a turbulent world. The market economy and its operating mechanism promote the birth of a number of new sciences along with its language.

Common languages have been dealt with in basic subjects such as: linguistics, computer languages, poetic languages, musical languages, etc. What about the language of numbers?

Statistics is a special character, statistical language describes multi-dimensional phenomena. In fact, numbers don't speak. And in terms of sounds as well as characters, numbers can't speak and can't speak. It's just that people speak for numbers about the nature of socio-economic phenomena that numbers represent and are arranged in ways that serve the object of study.

In the I Ching, divination is a wonderful combination of statistical probability with experience discussed for centuries. It is the wisdom of wisdom combined with metaphorical methods. Definitions are open so that they are both default and appropriate to the “as is” context that people desire. Positive experience and external description are always complementary. Substance is the nature and phenomenon that statistics call quality and quantity. For example, visually, in terms of quantity description, a red apple is about to be harvested. In terms of quality observation, the size of the stone does not matter in terms of mass, in fact, it is all flammable when strongly impacted. Even though we have soaked in water for thousands of years, the nature of fire is still there. Observation and statistical research too, cannot be biased, cannot add or subtract, must look deeply as the phenomenon itself to see the nature and regularity of rocks and water. Rock is flaming, water is wet and flows in a valley…

Back to the conversation on what is the language of statistics? This is a completely new issue in terms of both approach and concept. Is the language of statistics real? obscured, or "default", "implicit" silence between socio-economic phenomena and users of statistical information. In fact, in a certain sense, it is the signs, the signposts, the logical bridge to understand the scale of the phenomenon, what trend it develops?

Therefore, the producer of statistical information based on the experience and needs of the user, by his method helps the user understand the same things and phenomenon as the producer, not to mention help them have a more dynamic view. , detect movement trends and develop their way. Help them find out the laws of movement by statistical methods from simple to complex,

Statistics is a variety of socio-economic relations to be studied, but the language of statistics is fragmentary. Mathematics and statistical probability are at the heart of discontinuous inferences. A phenomenon, a number does not say anything, so it must be stringed, or "listen to the rhythm" to "guess the program". Prediction is important in statistics. Predictions for practical application, turning statistical insights into policy making as well as building short and long-term plans.

In fact, whether onomatopoeia, figurative or simulation, computer language has made considerable inroads into the statistical process… Qualitative has entered statistics as a challenge but a reality. The world has and is doing a lot of research on qualitative aggregate indicators. And we also have to accept it as Job Steve's point of view, studying the yes from the no in our software. At the same time, we should not and cannot consider numbers to be everything, because in fact building institutions and directions still have to rely on politicians, diplomats, military, spiritual... In fact. In fact, sometimes we think that studying numbers is static and "dead" in the fluctuations of society, not to mention predicting what is about to happen is extremely difficult. Therefore, it is necessary to study it both in terms of scale and method. The method is the key to deciphering the statistical language, for which the computer is an effective tool. The human role is paramount. Honest, knowledgeable people, accurately describe the nature and research phenomena, make statistics and statistical language lively, attractive and effective.

However, the flip side of digital and computer tools overturns the old thinking. Statistical methods aided by computer tools make it easier to study simple quantities, but the aesthetics of increasingly dry, less qualitative reports make the voices of numbers separate. fragmentary, less convincing.

The first step to approaching statistics is not a statistical principle, it is not a statistical probability, and it is not a pure method. The key here is to find out what the essence of the numbers speaks for themselves. Statistical research is multi-faceted, large-scale research, finding trends in the qualitative and quantitative relationships of an overall logical structure. The quality-quantity correlation puts the right number in its place that everyone agrees, undisputed.

It should be said that the study of statistical language is not only about deepening and clarifying the questions of the statistician, but statistics is always associated with experience and mood. Sometimes the context and emotions make the writing style develop in a direction that is different from the original thought. That is the context, the context, the magic pen due to the impact of the socio-political environment, the emotions of the analyst... Indeed, statistical language when expressed in a complete text is extremely difficult. difficult but it is entirely up to the responsibility of the performer.

The task of statistics is to study socio-economic phenomena of large numbers. But in the intellectual economic environment, China's factory order of production is challenging to study the laws of the quantitative economy in new conditions. The laws of economics have changed. So is it a continuation of a large-scale study or a combination of a large-scale study with a single study? It is necessary to focus on research on quality indicators of sustainable growth, environment, labor productivity... Therefore, research methods must be changed. The traditional way of "casting and dropping nets" according to the tradition of survey and sampling for generalization and cleaning, although old but very important. Statistical investigation is still the number one pillar, statistical comparison is the number two pillar. There is a new comparison to find out the development, fairness and transparency according to international standards. Documents, administrative records, and general reports from the indicator system at all levels are the third pillar. The fourth pillar of statistics is the statistical forecast for the entire economy. And the last task is to compile annual reports with the government and the National Assembly; The National Statistical Yearbook serves party agencies, governments at all levels, businesses, and economic researchers at home and abroad.

Some of the initial thoughts on statistics and statistical language are rudimentary, perhaps shallow, without referenced research papers, but the attractiveness of this nonverbal language has encouraged the writer to get drunk. passionate about. Because of the love of statistics and numbers, the language of statistics is the definitive voice of statistics, showing both the professional and ethical qualifications of the statistician.

Indeed, if this is a topic of interest, then let's exchange and discuss so that statisticians can understand statistics more deeply and love numbers even more with its own language.

Dr. Tran Huu Thuc

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