1. When entering data, any mixed input of decimals, integers, and fractions is allowed. Chinese commas, English commas, spaces, and carriage returns can be used as separators, and spaces can be used without restrictions. For example, the following input is also legal:
0.2 0.3 0.2,0.5 , 1/2 , 2 0.5,3 2/7
2. Please enter a legal score. Only scores in the form: 1/2, -1/2 can be recognized, but not in the form -1/-2, 1/-2, (-1)/(-2) , -1/(-2), etc. are obviously not in the form of fractions written by carbon-based bioenergy;
3. Do not end with any symbols other than spaces. There is no need to add a semicolon or period after the data is input;
4. The data you enter will be treated as decimals, even if all your inputs are fractions;
5. The calculation results have been processed in this way: the final result retains four decimal places, and the extra 0 is removed;
6. Please ensure that the number of data in each group of data entered is the same;
7. When entering data of different levels in the input box of one-way analysis of variance, please use a semicolon or carriage return to separate;
8. The program does not provide the P value of the ANOVA table, and allows the number of data at different levels to be different;
9. The clear operation cannot be undone.
10. The K value entered on the Feature Statistics page should be an integer, and the P value entered should be a decimal number from 0 to 1.
11. In the hypothesis testing part, you need to enter the sample space average of the title in the given average column, such as 240
12. According to the question type, choose whether to enter the predetermined standard deviation. If there is no standard deviation information in the question, the program selects the t-test with unknown variance. If the standard deviation is given in the title, you need to enter the standard deviation and perform the u test.
Note: The value of standard deviation is given in general questions. If the value of variance is given, it needs to be converted into the value of standard deviation. This program provides three most commonly used alpha values for selection, namely 0.01,0.05,0.1.
1. Feature statistics
k-th order origin moment | ![]() |
k-th central moment | ![]() |
Kurtosis coefficient | ![]() |
Skewness coefficient | ![]() |
3. Linear regression:
Suppose the regression equation is:
Generally, use least squares to get the parameters
To minimize Q, then, the partial derivative is obtained:
This is the normal system of equations. After sorting out, we get:
Mark:
Solve it ,get:
4. Hypothesis test:
Calculation formula of test statistics:
U test:
T test:
Note: The value of standard deviation is given in general questions. If the value of variance is given, it needs to be converted into the value of standard deviation. This program provides three most commonly used alpha values for selection, namely 0.01, 0.05, 0.1.