Question 2: What is a weighted sum? According to statistics, when calculating the average value and other indicators in statistics, the value that weights the values of each variable is called weight.
The linear weighted sum can be understood as follows: suppose there are n parameters x 1, x2, x3...xn, the corresponding weight coefficients are p 1, p2, P3...pn, and the weighted sum is: s = p1* x1+p2 * x2+P3. ...
Question 3: What does the stock weight mean? There are two places in the stock market where weighting is used.
1, the moving average, that is, several lines in the trend chart, is the average calculated according to historical values; This will not change your value;
2. Weights such as allotment, allotment and dividend, because the total stock plate has become bigger or smaller, in order to ensure your value, you need to weigh it. At this time, although the stock price has become 7.5, you will know that the stock has increased, from the past 100 shares to 106 shares. If you send 10 shares. Don't worry about the loss.
The price shown after 3 o'clock in the chart is the closing price of the day, without weighting. But futures are different. The price shown in futures is the weighted price of the day.
Question 4: What do you mean by weighted college course scores? For example, if the score is 5 credits higher and 4 credits higher, the high weight is lower than the high weight. When calculating the total score (ranking), it is assumed that you got 90 points in advanced mathematics and 100 points in physics. Let's just say that there are only two courses this semester, so your final grade is (90 * 5+100 * 4)/(5+4) = 94.4444.
Question 5: What is the weighted average? Weighted average method, that is, each value is multiplied by the corresponding number of units, then added and summed to get the total value, and then divided by the total number of units.
The average value depends not only on the tag value (variable value) of each unit in the population, but also on the frequency of each tag value. Because the frequency of each sign value plays a role in measuring its influence in the average, it is called weight.
For example, the following is a classmate's exam results in a certain subject:
Usually take the exam 80, mid-term 90 and final 95.
The calculation method of subject scores stipulated by the school is:
Usually exams account for 20%;
Interim results account for 30%;
Final grade accounts for 50%;
Here, the proportion of each achievement is called weight or weight. So,
Weighted average = 80*20%+90*30%+95*50% = 90.5.
Arithmetic average = (80+90+95)/3 = 88.3
The above example is the case where the weights are known. The following example is the case of unknown weight:
Stock a, 1000 shares, price10;
Stock b, 2000 shares, price15;
Arithmetic average = (10+15)/2 =12.5;
Weighted average = (10x1000+15x2000)/(1000+2000) =13.33.
In fact, when the weight of each number is the same, the weighted average is equal to the arithmetic average.
Question 6: What do you mean by weighting? According to statistics, when calculating the average value and other indicators in statistics, the value that weights the values of each variable is called weight.
For example.
Average the following series of numbers.
3、4、3、3、3、2、4、4、3、3、
The general solution is (3+4+3+3+2+4+4+3+3)/10 = 3.2.
The weighted solution is (6 * 3+3 * 4+2)/ 10 = 3.2.
Among them, 3 appears 6 times, 4 appears 2 times, and 2 appears 1 time. 6,2 and 1 are called weights. This method used to be called weighting method.
Question 7: What is weighting? According to statistics, when calculating the average value and other indicators in statistics, the value that weights the values of each variable is called weight.
For example.
Average the following series of numbers.
3, 4, 3, 3, 3, 2, 4, 4, 3, 3,
The general solution is (3+4+3+3+2+4+4+3+3)/10 = 3.2.
The weighted solution is (6 * 3+3 * 4+2)/ 10 = 3.2.
Among them, 3 appears 6 times, 4 appears 2 times, and 2 appears 1 time. 6,2 and 1 are called weights. This method used to be called weighting method.
Question 8: What do you mean by weighted ranking? Volunteering for the college entrance examination is a highly operational technical work. Even if you know the relevant principles by heart, it won't help if you can't scientifically analyze the admission data of colleges and universities.
The analysis of college admission data is not only the most important problem, but also the most difficult problem to solve. Before the advent of the "3/8 line difference method" I founded, no one had made great achievements in this respect. The theory of "line difference method" put forward by me was quickly praised by the industry once it was promoted by major portals, and it has been widely used so far.
Although the current "line difference method" theory has become the main method to analyze the admission data of colleges and universities, it is still in the stage of fuzzy analysis and cannot accurately describe the actual distribution of the number of students admitted within the admission score interval. Moreover, with the development of society, parents have higher and higher requirements for volunteering to fill in the college entrance examination, and this fuzzy analysis result has been difficult to meet everyone's needs.
In order to solve this problem fundamentally, I recently put forward a new quantitative analysis theory ―― ranking advantage line difference method, and based on this theory, I organized and developed a "fool-like" high-intelligence college entrance examination volunteer filling system ―― Jinhe college entrance examination volunteer filling system (some functions of this system have been opened, and the download address can be obtained from "Sina blog in Li Jinhe"), which bid farewell to the state of fuzzy analysis completely and made the college entrance examination volunteer filling system move towards "refinement". You can use this system to help you make voluntary decisions, and you can also use the theory of "ranking advantage line difference method" to analyze the reliability of target institutions. Now, the "ranking advantage line difference method" is briefly introduced as follows:
First, related concepts
1, "line difference"-the difference between the admission score line and the batch control line.
If the admission score of an institution is 600 and the control line of that year is 520, then the difference of the admission line is 80.
2. "Ranking advantage"-the proportion of the reverse ranking among all admitted candidates to the total number of admitted candidates.
Suppose a school is an institution, and it enrolls 100 students in our province in a certain year. If these 100 people are sorted by scores, each candidate will have a "ranking advantage" from the perspective of ranking.
"Grade advantage" can be described in positive order or in reverse order; It can be ranked or expressed as a percentage. For example, 1 can also be said to be 100% ranking advantage, and 100 can only be said to be 1% ranking advantage. In this way, we can not only use the index of "ranking advantage" to describe the relative position of a candidate among all the admitted candidates, but also calculate the absolute position of a "ranking advantage" candidate.
Absolute position ranking advantage × number of students admitted
For example, the number of students enrolled 100, and the ranking advantage of 25% indicates the 25th position from the bottom; If the number of students enrolled is 200, a ranking advantage of 25% means the 50th place from the bottom.
3. "Line difference of ranking advantage"-it is based on the actual distribution of candidates admitted to colleges (or majors) in previous years, and the corresponding ranking is found according to the expected ranking advantage, and the "line difference" is calculated through the corresponding scores of candidates.
Suppose: the control line is 520, and the number of students enrolled in a college is 100. The expected ranking advantage of our analysis is 25% (the expected ranking advantage is generally 25%, but it can be adjusted according to different situations). Then: the corresponding ranking is 25th from the bottom.
Suppose the score of the 25th from the bottom is 620. Then: the "ranking advantage line difference" with a ranking advantage of 25% is higher than a line 100 points.
Second, what is the "ranking advantage line difference method"
Ranking advantage line difference method is a quantitative analysis method. Taking the weighted average of ranking advantage line differences in each year as the reference line difference this year, combined with the average enrollment heat, remaining scores, annual admission probability and other indicators, it comprehensively analyzes the admission data of colleges (or majors) and makes a scientific judgment on the possible admission situation of colleges (or majors) this year.
Because the "ranking advantage line difference method" is based on the actual distribution of candidates admitted in previous years in the admission score interval, its analysis results can be accurate and unbiased. Moreover, because it is combined with other indicators for comprehensive judgment, the analysis results can be comprehensive and reliable.
Thirdly, the auxiliary analysis index is introduced.
1, the average application heat (that is, the average online rate of a volunteer)
Voluntary online rate 100% × number of voluntary online users/number of applicants.
Average ... >>