What is Fractional Difference What does Fractional Differential mean

The grade difference can generally be divided into the school volunteer grade difference and the professional volunteer grade difference. The difference in school choice grading refers to the difference in scores when admitting candidates who are not the first college volunteers. For example:

If the difference between the volunteer grade and the first choice is 600 points, then the second choice is 620 points. For colleges and universities with sufficient first-choice students and a specified volunteer grade, the provincial recruitment office will complete the first-choice candidate file according to the proportion of the file, and then put the second-choice candidate file with a score above the grade difference to the school according to the volunteer grade proposed by the institution, and the school will review and admit it. Some colleges and universities stipulate a professional grade difference when assigning majors, and the professional grade difference refers to the score difference when admitting candidates who are not the first major.

For example, if a school stipulates that the grade difference of the major is 4 points, the school will subtract 4 points from the score of the candidates of the second major choice and rank the candidates of the first major choice to determine the major together when assigning the major. Some schools that do not stipulate the difference in professional grades, when assigning majors, some adopt the principle of volunteer priority, that is, first meet the first professional volunteer candidates, and some adopt the principle of score priority, and give priority to candidates with high scores.

Sichuan candidates can listen to the recent 2012 China Mobile Sichuan College Entrance Examination Volunteer Filling Guidance Public Welfare Lecture Tour, which is still very good, and it is very helpful to yourself.

The grade difference is a score difference, which mainly refers to the score difference between the lowest admission control line when a university admits candidates to the first choice and the non-first choice candidates. Generally speaking, candidates who are not the first choice will be three or five points higher than the minimum control line, and several points higher than the minimum control line. The existence of the difference between the college entrance examination volunteers and the spring number makes filling in the volunteers a science.

The grade difference is for college entrance examination graduates, including the voluntary grade difference and the professional grade difference. The difference in the preferred grade refers to the difference in the score of the lowest admission control line when the university admits first-choice and non-first-choice candidates; The difference in professional grade refers to the difference in the score of candidates who are not the first professional choice.

The role of line differenceThe role of the line difference is mainly used to analyze and compare the admission scores of the enrollment colleges, especially the royal match is to analyze and compare the admission scores of different years, because many colleges and universities in different years of the admission scores often sell the students to change greatly, but the admission line difference generally does not fluctuate too much.

Extremely poor scores are a situation in which candidates other than the first choice are admitted, and usually the minimum admission score of these candidates will be a few points to several tens higher than the score of the first choice candidate.

There are two types of score extremes: professional and school scores. In most cases, the score of the second choice is higher than that of the first choice, because the later the choice, the higher the score required. For example, candidate A's first choice for admission to Jilin University is 600 points, and candidate B's second choice for Jilin University may require 640 points to be admitted to Jilin University if the school's volunteer score is extremely poor.

The extremely poor score of the professional volunteer is that when the school admits the major, there is a sequence of admission between the majors, and the first professional volunteer is not admitted, if the second professional volunteer is admitted, the corresponding score must be subtracted, and then the first student with the professional volunteer of the promotion will compete. For example, in 2018, Yanbian University was admitted with extremely poor scores in majors, and the admission rules clearly stated that the admission was based on "professional clearance".

A new concept is mentioned here - professional clearing, which is admitted according to the rules of the extremely poor major, with priority given to the major to talk about the potato application, respect the candidate's choice of major, and if the first major is not full, the second major will be admitted to the second major voluntary application model, similar to the sequential voluntary filing model.

In addition, there is another term that everyone needs to understand, that is, the score is clear, and the score is divided into two categories, one is with the extreme difference, and the other is without the extreme difference. When admitting the first major, the admission will be based on the score priority rule, and there will be no extreme difference, and when you are not admitted to the second major, the major differential score will be subtracted. Therefore, when the school is admitted according to the rules of score and major, it is best to check the option of obeying Xiaoxiao's professional adjustment.

Fractional grading, also known as grouping interval or grouping finch size, is a technique used in statistics to group data into a certain range. In simple terms, the fractional scale is the range of data contained in each group, that is, the numerical span between each group.

When we perform statistical analysis of the data, if there is too much raw data, we should properly classify and sort out the raw materials, so as to better carry out the subsequent calculation and analysis work. In this case, the data can be better grouped by setting a reasonable score scale and can provide useful information and conclusions.

For example, for a dataset, we can group it by attributes such as age and gender, and then set different score scales, such as 10 or 5 years old, to determine the range size of each group. This way, you can quickly and accurately understand the distribution of your data, which can help you make better decisions and **.

It should be noted that the selection of fractional differences should take into account the data situation and actual needs, so as to avoid too small or too large group size affecting the accuracy of statistical results. In the field of data analysis, there are other grouping methods, such as equidistant grouping, equal-frequency grouping, etc., and it is necessary to choose a reasonable method according to the specific situation.