TWI494894B - Simulation of the university admissions method and system thereof - Google Patents

Description

Method and system for simulating falling point analysis

The present invention relates to a method and system for simulating a drop point analysis, and in particular, the present invention is a method for utilizing a minimum admission score, a cumulative number of grades, and a quota for admission to major school departments in the previous year of the school. Produce a simulated analysis of the subject's voluntary placement.

From the beginning of birth, people learn to learn all kinds of knowledge and skills through continuous learning, so that they can be used in work and life. Today's progression system, from the traditional entrance examination system to the current university distribution entrance examination It is a one-time choice of volunteers. If you do not consider your ability to fill in your volunteers only by interest, willingness and future way, it is very dangerous. There is a crisis of “falling the list”. In addition, how to choose to fill in is in line with itself. The ability of the school to increase the probability of the list, is also one of the key elements of high school students can successfully enter the university.

To this end, many schools and tutoring classes use the means of conducting mock exams to help candidates understand their current strengths, and to evaluate candidates by simulating test scores, and to enroll in college admissions enrollment at the current stage. The school department, and the current evaluation methods are mostly based on manual judgment. For example, the teacher makes an empirical judgment based on the difficulty of the simulation test, the results of the student's simulation test and the official distribution results, and provides an empirical simulation. The candidate's candidate will be distributed to which section of the school. However, this method of judgment evaluation relies on the judge's rule of thumb and is only the result of speculation, but also has a subjective cognition for the difficulty of the test. That is to say, it is inadvertently subjective and causes errors. Therefore, it is not a rigorous, fair and accurate way of judging and evaluating. It is difficult to play the real effect of the simulation test.

Therefore, it is necessary to propose an analysis method that can be applied to large-scale examinations such as simulation examinations. This analysis method can more accurately and rigorously simulate the school that may be listed on the candidate's list, and then know the current strength of the school. Adjustment reference for post-learning goals.

In view of the above-mentioned shortcomings, the object of the present invention is to provide a method for simulating a point-of-sale analysis, which is a cumulative table of the number of people in a large-scale examination based on the lowest admission scores for each desired target and the basis of each desired bid. The number of places for admission to each of the expected targets in the previous year of the school is entered, a list of simulated evaluation percentages is generated, and a simulated drop point analysis result is generated based on the comparison of the simulated evaluation percentage list and the subject information.

Another object of the present invention is to evaluate the percentage list based on the previous year's minimum admission scores and scores cumulative table corresponding to each desired target, and obtain them according to the expected combination of the year, the subject, and the method.

Another object of the present invention is that the cumulative admission quota percentage list is calculated according to the ranking of the evaluation percentage list corresponding to each desired target, and is calculated by the actual admission quota of each desired target, and the cumulative admission quota percentage list can be further read by the subject. The admission quota for each expected target in the previous year of the school produces a list of simulated cumulative admission quotas, which in turn simulates a list of simulated evaluation percentages for the respondents.

A further object of the present invention is to simulate the result of the analysis of the drop point by first checking whether the test subject has met the test standards set by the respective target targets, and the scores of the subjects subject to the foregoing conditions are determined according to the respective target targets. After calculating the weighted total scores, the percentage of the acceptance ability of a subject is calculated and compared with the percentage of the simulated evaluation, and a simulated drop point analysis result expressed by the percentage difference is generated.

In summary, the present invention does improve the shortcomings of the aforementioned analog test analysis methods, and provides a more accurate and rigorous analog drop analysis method applied to the simulation test, and the maximum effect of this method is : The analysis results will not be biased because of the difficulty of the test questions, and there will be no errors due to the subjective cognition of the judges. Through this method, candidates can be simulated in advance to simulate the possible school rankings, which in turn allows candidates to learn their current strength from the simulation test, and then as an adjustment and reference for future learning goals.

Hereinafter, an embodiment of a method for simulating a falling point analysis of the present invention and a system thereof will be described in detail in conjunction with the accompanying drawings. In the following embodiments, the so-called desired target is applied to a designated subject test or school. The examinations for the designated subjects of the third year of the cram school are referred to as the major schools that participate in the examination and distribution. If they are applied to national examinations, general examinations, college entrance examinations, etc., they can be used for admission and distribution, etc. The university department is taken as an example for illustration, and the present invention is not limited thereto.

Referring to FIG. 1 , a flow chart of the simulated falling point analysis method of the present invention is disclosed, according to which a more accurate and rigorous simulated falling point analysis method can be integrated. In the step S101, the percentages of the evaluations of the major schools are calculated based on the minimum admission scores and the cumulative number of students in each major school. The information used here must be the basis for calculation in the same year. For example, the minimum enrollment score for 97 years or the cumulative number of accruals for 97 years, in addition, the annual period used for such information should be the previous year of the simulated test year, for example, the year in which the mock exam is held is 98. The calculation should be based on the information of the minimum enrollment score and the accumulative number of achievements in the year of 1997. The following is the previous year (97 years) and the current year (98 years). The cumulative number of achievements can be a cumulative table of the number of students in each subject or a cumulative table of the number of students in each subject. The invention does not limit whether the cumulative number of students is a single or a combination of examinations; The method is to calculate the percentage set by the binary approximation method (determining the percentage to be calculated) and the linear interpolation method (calculating the score corresponding to the percentage), and calculate the corresponding scores on the cumulative number of the specified subject test scores in the previous year. The scores obtained are calculated based on the subject and method of the specified subject examinations of the school, and the minimum admission score for the previous year of the school is calculated to fall within two fractions divided by the total score of the acquisition. Which segment of the segment continues to use the binary approximation method with linear interpolation to find the percentage corresponding to the total score of the school's previous year's lowest admission score, which is the evaluation of the school's previous year. Percentage, repeating the percentage corresponding to the minimum admission score for each university, and then ranking the evaluation percentages of all schools as an ascending or descending power. List, which is a list of evaluation percentages, which is the ranking of volunteers caused by universal values in the society. It can also reflect the evaluation of the students in the major schools. For example, in the eyes of ordinary people, National Taiwan University is the most in Taiwan. A good university, and the Department of Electrical Engineering at National Taiwan University is usually the first in the natural group.

In step S102, the percentage ranking of the evaluation is applied, and the actual number of places accepted in the previous year of the major school departments is calculated according to the ranking, and the ranking of the last university is the total number of places accepted. The actual total number of admissions in the year is divided by the total number of enrolled students divided by the total number of enrolled students. After the percentage is converted, the value is subtracted from 100%, which is the percentage of the total enrollment quota, and the percentage of the total enrollment quotas of the major schools is based on the evaluation percentage. The list generated after the order is sorted, which is the list of the percentage of the total number of places to be admitted. Please refer to the list listed in Figure 3 (take the top 5 and the last 5 of the rankings for explanation), then you can learn about the major school departments and the percentage of evaluation. Correspondence between the actual number of places accepted, the total number of places accepted, and the percentage of the total number of places admitted.

After obtaining the above list of the cumulative number of places to be admitted, please refer to Figure 3 and Figure 4 together. Then, in the steps S103~S104, take out the places accepted by the subjects in the previous year of the school, that is, the test. Those who attend the school’s seniors’ school in the previous year, and the number of students in the school’s examinations, etc., sort the information according to the above-mentioned evaluation percentages, and then calculate the total number of places admitted to the school. Further calculate the percentage of the total number of places admitted to each major school system. In theory, it is difficult for each school to be admitted to each major school. Therefore, the calculated part of the major schools is calculated. There will be duplicate data in the percentage of admission quotas (the cumulative number has not changed, because the number of places accepted by the school in the previous year is zero, so the calculated percentage has not changed), so it must be corresponding The percentage of the cumulative enrollment quota for the number of places with a quota of zero is adjusted to make it reasonable to obtain a simulated cumulative enrollment percentage. In the table, the percentage is the current ranking of the candidates for the subjects and the subjects currently enrolled in the school. The rankings of the candidates for the year are shown in the example of the Taida Motor listed in Figure 4. The subjects in the list attend the school. The admission quota for the admission to the school is zero. Therefore, the percentage of the total enrollment quota in the column needs to be revised. Refer to the list of the cumulative enrollment percentage in Figure 3 and the percentage of the cumulative enrollment quota in Figure 4. The method calculates a new percentage of the total number of places accepted, and the list of the percentage of the total number of places accepted is corrected to obtain a list of the percentage of simulated cumulative places. With this list of simulated cumulative enrollment percentages, in the S105 step, you can use the cumulative enrollment percentage list, the simulated cumulative enrollment percentage list, and the evaluation percentage list, and then calculate the simulation evaluation for the current year by linear interpolation. Percentage list, the simulation evaluation percentage list is the student who participated in the simulation test, using the scores of the simulated test as the benchmark for selecting volunteers to simulate the evaluation of the students of the major schools in this year. Please refer to Figure 5, The percentage of simulated evaluations for each column is calculated by linear interpolation using the percentage of cumulative enrollment in each column, the percentage of simulated cumulative enrollment, and the percentage of evaluation. The subjects mentioned in this paragraph are enrolled in the school's pre-school enrollment in the previous year. In order to obtain the long-term stability of the school, the admission of the university's performance is not limited to the results of the previous year's admission. The average number of places accepted by the major schools in the plural years can be used to calculate a list of the percentage of the total number of places accepted.

Step S106 is a calibration step, and a difference list is calculated. The difference list is the difference between the percentage of the simulated cumulative admission quota and the cumulative admission quota percentage of each column. After the calculation, the difference list is checked, if any From the increment to the decrement and then to the positive and negative bounce segments of the increment, the percentage of the simulated evaluation corresponding to the column is deleted, and the percentage of the simulated evaluation is corrected by the linear interpolation method with reference to the evaluation percentage of the corresponding column.

The steps S107-S110 are a series of steps of comparing the simulated evaluation percentage with the subject information to generate a simulated falling point analysis result. First, S107 is to check whether the subject has met the comparison condition and is actually volunteering. In the process, the volunteer's academic test must be passed before the volunteer's accreditation subject can be judged. If the two procedures are passed, the distribution can be performed. Therefore, it is checked whether the testee has met the comparison. The condition is that whether the test items and standards of the testee are compared and whether the test is passed or the test subject has a test. If there is a pass, the distribution will be carried out. If any one fails, the next volunteer will be carried out. In the simulation of the point-of-sale analysis, since the participating simulation test is for the specified subject test, it is only necessary to make a judgment on whether the test subject has a test, so as to obtain an accurate and rigorous analysis result; S108 In the step, the subject scores of the subjects who meet the comparison conditions are calculated, and the weights of the respective schools are calculated according to the subjects and methods of the specified subject examinations of each school department. The total score, of course, the weighted total score of each school is also calculated according to the subject selected by the subject, and the subject and method of the specified subject test in a certain school, the subject will not be counted if there is no subject in the subject. The weighted total score, for example, the social group is different from the natural group. The selection of the natural group does not calculate the school group of the social group, and only the test combination generated by the test subject selected by the subject is calculated. The school system, this will also affect the presentation of the results of the subsequent simulated placement analysis; in the steps S109 and S110, the weighted total score and the cumulative number of scores of the test are calculated by the two-point approximation method. The percentage of the applicant's admission ability, this calculation method is similar to the above-mentioned evaluation percentage calculation method, and will not be described here. After calculating the percentage of the applicant's admission ability corresponding to each school system, the subjects corresponding to each school system are selected. The percentage of admission ability is compared with the percentage of the simulated evaluation. For example, the percentage of the subject's ability is subtracted from the above-mentioned percentage of the simulated evaluation, and a percentage difference is obtained. The school with the difference closest to zero is the measured. The school that wastes the least amount of scores (commonly known as the best placement point), the more negative the difference is, the less likely the subject is to enroll the school. The more positive the difference is, the easier it is for the subject to be admitted. The school system, and the difference list is the result of the simulated point-of-sale analysis, and the presentation manner may be the order of the most up-to-date school system to the most positive school line, and the present invention is not limited to this presentation mode.

Of course, the result of the simulated falling point analysis not only calculates the percentage of the subject's admission ability, but also the traditional score comparison method, comparing the weighted total score with the simulated minimum admission score to generate a simulated falling point analysis result, and The simulated minimum admission score is calculated by the percentage of the simulated evaluation and the number of achievements in the current year. The scores of the percentage of the cumulative number of students in the school are the percentages of the percentage of the cumulative number of students in the school. After the investigation, the weighted score is calculated according to the calculation method. The weighted score is the simulated minimum admission score of the school, and the weighted total score of the subject relative to the school's acquisition method is compared with the minimum simulation of the school simulation. The difference between the scores, and the results of the simulated drop analysis are presented as the difference of the scores. For the percentage method other than the above, please refer to Figure 6. You can see the results of the simulated drop analysis in a percentage manner, in Figure 6. The intensity of the school is the percentage of the above-mentioned simulation evaluation. The strength of the candidate is the percentage of the above-mentioned subjects' acceptance ability, and the intensity. The foregoing is the percentage difference between the present invention is not limited form of presentation, in this embodiment, the number of so-called achievements of the current year's cumulative table is the data of the mock examination to all candidates to statistics obtained from the results.

The simulated drop analysis system using this method will continue to be described below. The system can best perform the analysis using an electronic computer. Referring to FIG. 2, the present invention discloses a simulated falling point analysis system 2, which includes: The input module 21, the data module 22, the calculation module 23, the comparison module 24, and the output module 25. The input module 21 provides the subject's input of the subject information, and the so-called subject information refers to the subject's scores, the subject's school, and the subject's attendance at the school's previous year. The necessary information for the simulation of the placement analysis, such as the number of places and the combination of the examinations, the scores of each subject may include the academic test scores, the test scores, the test scores, or other test scores. These materials are used to provide the calculation module 23 The comparison module 25 is used, and the subject information may of course include the name, the school system to be analyzed, the identity, the selected examination, and the like, and the invention is not limited thereto.

The data module 22 is to store various information, such as the minimum admission scores of the previous year of the major schools, the actual admission quotas of the previous year of the major schools, the academic examinations of the previous year or the current year of the major schools. The necessary data for the simulated placement analysis, such as the accumulative table of the number of achievements in the previous year or the current year, the specified test acquisition subjects and methods, and the combination of examinations, etc., and the above-mentioned cumulative scores are all issued by the official unit-university exam admission committee. The information published by the candidates in the simulated test, which is used to provide the calculation module 23 and the comparison module 25, and the cumulative number of scores can be used for each individual subject. The cumulative number of achievements or the cumulative number of scores for each combination of examinations, the present invention does not limit whether the cumulative number of scores is a single or a combination of examinations.

The calculation module 23 generates a simulation evaluation percentage list by using the foregoing various materials and the subject information, and the module further includes an evaluation calculation unit 231, which can calculate an evaluation percentage list, a simulation evaluation percentage list, and a Simulate the minimum admission score or the percentage of a candidate's admission ability. The percentage of the evaluation percentage, the simulated minimum admission score, and the percentage of the applicant's admission ability are obtained by the binary approximation method with linear interpolation method. The simulation evaluation percentage list is linear interpolation method. The cumulative calculation unit 232 can calculate a cumulative admission quota percentage list, a simulated cumulative admission quota percentage list, or a simulated partial cumulative admission quota percentage list, the cumulative admission quota percentage list, and the simulated cumulative admission quota percentage. The list of the cumulative number of places in the list and the simulation part is obtained by linear interpolation. The detailed calculation method of the linear interpolation method or the binary approximation method is shown in the embodiment of the simulation point-of-sale analysis method, and will not be described here. And a correction unit 233, which can calculate a difference The list is used to correct the aforementioned simulation evaluation percentage list, which is generated by the difference between the simulated cumulative admission quota percentage list generated by the cumulative calculation unit 232 and the cumulative admission quota percentage list, and the correction unit 233 generates the difference. After the list of values, check the list of differences. If there is a positive or negative beating segment that changes from increasing to decreasing to increasing, then the percentage of the simulated evaluation corresponding to the university system will be deleted, and then the percentage of the evaluation corresponding to the university system will be used. The percentage of the simulated evaluation of the correction was obtained by linear interpolation.

The comparison module 24 compares the result generated by the calculation module 23 with the information of the subject, and compares the scores of the subjects of the subject with the calibration of each school. If the conditions of the test are not met, the school series will not be included in the results of the analysis; if it is met, the scores of the subjects will be calculated according to the subjects and methods of each school. By weighting the total score and comparing the simulated minimum admission scores, you can get the simulated drop analysis results of the subjects in each school, which can be the presentation of the score difference, or compare the testee's admission ability. Percentage and analog evaluation percentage, to present a percentage difference representation, and output to the output module 25, the output mode can be any screen displayable carrier or printed as a paper, etc. Do not limit the output mode.

In summary, the method and system for simulating the falling point analysis of the present invention can provide a more accurate and rigorous simulation of the falling point analysis method in a simulated test by the above method or the mutual operation of the system to improve At present, subjective cognitive gaps caused by manual judgment or other shortcomings that lead to greater errors allow the subject to simulate the possible school rankings in advance by using the simulation test, thereby allowing the subjects to obtain the simulations. Know your current strength, and then as an adjustment and reference for future learning goals, in order to play the most effective role of the simulation test.

The above embodiments are merely illustrative of the principles of the invention and its advantages, and are not intended to limit the invention. Modifications and variations of the above-described embodiments can be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention should be as set forth in the appended claims.

S101~S110. . . Method steps of an embodiment of the invention

2. . . Simulated falling point analysis system

twenty one. . . Input module

twenty two. . . Data module

twenty three. . . Computing module

231. . . Evaluation calculation unit

232. . . Cumulative calculation unit

233. . . Correction unit

twenty four. . . Alignment module

25. . . Output module

Figure 1 is a flow chart of the simulated drop point analysis method of the present invention.

Figure 2 is a schematic diagram of the simulated drop point analysis system of the present invention.

Figure 3 is a list of ones used in embodiments of the present invention.

Figure 4 is another list used in an embodiment of the invention.

Figure 5 is another list used in an embodiment of the invention.

Figure 6 is a simulation drop point analysis result presented by an embodiment of the present invention.

S101～S110. . . Method steps of an embodiment of the invention

Claims (30)

A method for simulating a falling point analysis, comprising the steps of: calculating a percentage of evaluation corresponding to each expected target by a minimum admission score corresponding to each expected target and a score cumulative table; and sorting the percentages of the evaluation according to the size thereof to generate a Evaluate the percentage list; use the actual enrollment quota corresponding to each expected target, and calculate a list of the total number of enrolled places according to the ranking of the above-mentioned evaluation percentage list; use the subject to enroll in each year of the school to enroll each expected target or multiple annual enrollment The average of the number of expected target places is calculated according to the ranking of the above-mentioned evaluation percentage list, and a list of the cumulative part of the total number of accepted places is calculated; and a simulated cumulative amount is calculated by using the above-mentioned list of the cumulative number of places and the percentage of the cumulative part of the simulated part. a list of the number of places to be admitted; a list of percentages of simulated evaluations is calculated by the above-mentioned list of cumulative quotas, a list of simulated cumulative places, and a percentage list of evaluations; and a list of percentages of the simulations and subject information according to the foregoing To produce an analog placement results. The method of claim 1, wherein the subject information may be a score of each subject of the subject, a school of the subject, a place of the subject who is admitted to the school in the previous year, and a subject of the subject. The average of the number of places for each of the expected targets and the combination of the test subjects for the year of the school. The method of claim 1, wherein the method for calculating the percentage of the evaluation is a binary approximation method and a linear interpolation method. The method of claim 1, wherein the method for calculating the list of the percentage of the cumulative cumulative admission quota is a linear interpolation method. The method of claim 1, wherein the method for calculating the percentage of the simulation evaluation percentage is a linear interpolation method. The method of claim 1, wherein the evaluation percentage list further comprises the following calibration step: calculating a difference list, which is a percentage of the simulated cumulative admission quota and the cumulative admission quota percentage corresponding to each desired target. The difference; and check the difference list, if there is a significant change from incremental to decreasing to incremental positive and negative, the percentage of the simulated evaluation of the expected target is deleted, and then the percentage of the evaluation corresponding to the expected target is re- The percentage of the simulated evaluation of the correction was obtained by linear interpolation. The method of claim 1, wherein the comparing the results of the simulated drop analysis comprises the steps of: checking whether the subject has met the comparison condition; and subjecting the subjects to meet the foregoing conditions The weighted total scores are calculated according to the purchase subject and method of each desired target, and then the comparison is performed. The method of claim 7, wherein the method of comparing may be comparing a difference between a weighted total score of the subject's desired target and a simulated minimum admission score corresponding to the desired target. The method of claim 8, wherein the simulated minimum admission score of the expected target is obtained by querying the percentage of the simulated evaluation corresponding to the expected target and the scores of the scores to query the scores corresponding to the percentage of the evaluation. The method calculates the weighted total score and finds it. The method of claim 7, wherein the method of comparing may be the difference between the percentage of the subject's admission ability and the percentage of the simulated evaluation. The method of claim 10, wherein the percentage of the applicant's admission ability is obtained by a two-point approximation method combined with a linear interpolation method. For example, the method described in claim 7 is the condition that the comparison condition refers to the subject ability test verification item and the standard, and the subject examination test subject and method. The method of claim 1, wherein the simulated drop analysis result is presented as a fractional difference or a percentage difference. A system for simulating a point-of-sale analysis includes: a data module for storing various data; an input module for providing information to be input by the subject; and a computing module for utilizing the data module and The data of the input module generates a list of simulation evaluation percentages corresponding to each desired target, and the calculation module comprises: an evaluation calculation unit, which can generate a list of evaluation percentages, a list of simulated evaluation percentages, a simulated minimum admission score or a subject The percentage of the applicant's enrollment ability; and a cumulative calculation unit, which may generate a list of cumulative enrollment percentages, a list of simulated partial enrollment quotas, or a list of simulated cumulative enrollment percentages, wherein the percentage of the cumulative enrollment quota for the simulation portion is generated. The list is calculated from the average number of places in the previous year in which the subject is enrolled in the school or the average number of places in each year, according to the ranking of the evaluation percentage list; and a comparison module is based on The aforementioned simulation evaluation percentage list and the subject information comparison generate a simulation drop Analyze the results. The system of claim 14, further comprising an output module for displaying simulated drop point analysis results of the comparison module. For example, the system described in claim 14 of the patent scope, wherein the information may be the minimum admission score of each desired target, the actual number of places for each desired target, the academic examination items and standards of each school, and the cumulative number of achievements. Specify any of the exam acquisition subjects and methods and the combination of exams. The system of claim 14, wherein the subject information may be a score of each subject of the subject, a school of the subject, a place of the subject who is admitted to the school in the previous year, and a subject of the subject. The average of the number of places for each of the expected targets and the combination of the test subjects for the year of the school. The system of claim 14, wherein the computing module further comprises: a correction unit that generates a difference list for correcting the aforementioned simulation evaluation percentage list. The system as claimed in claim 14, wherein the list of the percentages of the evaluation is generated according to the lowest admission scores and the scores of the scores of the respective expected targets, and the corresponding scores are calculated by the binary approximation method and the linear interpolation method. A list of percentages that are evaluated and sorted by their size. The system of claim 14, wherein the list of the cumulative number of places to be earned is calculated from the ranking of the actual percentage of the expected bids according to the ranking of the rating percentage list. For example, in the system described in claim 14, wherein the list of the cumulative cumulative quotas for the simulation is calculated from the list of the cumulative number of places accepted and the percentage of the cumulative number of places accepted in the simulation, calculated by linear interpolation. The system of claim 14, wherein the list of the percentages of the simulated evaluations is generated from the foregoing list of cumulative quotas, and the simulated cumulative records. The list of quota percentages and the list of evaluation percentages are calculated by linear interpolation. The system of claim 14, wherein the simulated minimum admission score is calculated by the method of calculating the percentage of the simulated evaluation and the cumulative number of achievements, and after querying the scores corresponding to the percentage of the evaluation. The total score is obtained. The system of claim 14, wherein the percentage of the candidate's enrollment ability is calculated by the two-point approximation method and the linear interpolation method. The system of claim 18, wherein the difference list is generated by a difference between a simulated cumulative admission quota percentage list and a cumulative admission quota percentage list, and the correction unit checks the difference after generating the difference list. The difference list, if there is a positive or negative bounce segment that obviously changes from increasing to decrementing to increasing, then the percentage of the simulated evaluation corresponding to the expected target is deleted, and then the correction percentage corresponding to the expected target is used to obtain the correction by linear interpolation. The percentage of the simulation evaluation. The system of claim 14, wherein the comparison module further comprises checking whether the subject has met the comparison condition, and if the criterion is met, the subject scores of the subject are determined according to the expected subject and method. The weighted total scores are calculated and compared. For example, the system described in claim 26, wherein the comparison condition refers to a subject ability test verification item and standard, a specified subject examination subject and method conditions. For example, the system described in claim 26, wherein the comparison may be the difference between the comparative weighted total score and the simulated minimum admission score. For example, the system described in claim 26, wherein the comparison method may be the difference between the percentage of the subject's admission ability and the percentage of the simulated evaluation. The system of claim 14, wherein the simulated drop analysis result is presented as a fractional difference or a percentage difference.