This standard describes the composition, drawing and application of scatter diagrams. Scatter diagrams are used to determine whether there is a correlation between two variables. JB/T 3736.6-1994 Scatter diagrams, commonly used statistical tools in quality management JB/T3736.6-1994 Standard download decompression password: www.bzxz.net
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Machinery Industry Standard of the People's Republic of China JB/T 3736. 1~-3736. 8-- 94 Statistical tools commonly used in quality management Published on December 9, 1994 Ministry of Machinery Industry of the People's Republic of China Implementation on October 1, 1995 Mechanical Industry Standard of the People's Republic of China Statistical tools commonly used in quality management Scatter diagram Subject content and scope of use This standard describes the preparation, finalization and application of the scatter diagram. The scatter diagram is used to judge whether there is a correlation between two variables. The scatter diagram constitutes JA/T 3736. 6 --94 代带日3756.6—84 Scatter plot is a simple graphical technique for studying the relationship between two sets of related data. It is composed of a series of points distributed in a rectangular coordinate system. These points represent several pairs of data of the variable. See Figure 1, x Medical Scatter plot 3 Drawing step Select the analysis object. It can be the relationship between the quality value and the patient, the relationship between the quality value and the measured characteristic. The relationship between the cause and the idle rate. The collected data should have more than 30 pairs. Record the observation points and their names, sampling methods, sampling period, measurement methods, fixed instruments, observation rocks, environmental conditions, etc. . Establish a rectangular coordinate system on the paper, and mark the data at the corresponding positions in the coordinate system. From the group and the group, the small and large values are drawn and marked on the horizontal scale (X axis and vertical scale). The lengths of the two scales should be the same. If there is a reason that one quantity is the original or predicted value of the other, then the horizontal coordinate (time) represents the original or predicted value. e: When a point that is clearly different from the other data appears on the layout chart, the cause should be checked so that the statutory measurement or error is not required. 4 Analysis and use of the whole layout chart 4.1 The analysis of the unique state of the layout chart is shown in Table 1. Ministry of Machinery Industry 1994-12-09 Approved 1995-10-01 Approved JB/T 3736.6-94 and the beauty system one degree six, in order to study the big (strong positive constant correlation) change big, small (strong beauty) An big, roughly change big (strong positive correlation) big change small (negative send and: in what system (unexpected correlation) and the people is the beauty rate "curve I related) Bin change big·also corresponding to the exchange person·and the number of inserted signs, fast sex family better (strong stop correlation) Shi time degree again small teaching forbidden state fee The continuity is good (strong correlation) This standard stipulates that there is no constant correlation in the common method The correlation effect does not need to be calculated And the business model is used to make a judgment again, The logarithm of the plot is extracted, and the integral value is returned to the national 4.2. When the conclusion is obtained by the pressure distribution, the original conditions remain unchanged, and the new verification is required. 31 Correlation test JR/T 3736.6-94 When the points of the plot are weakly correlated or in a strong or weak correlation, a correlation test is required. . Calculation of the relationship The measured value range is in Table 2, and the values in each table are calculated. The following changes will be calculated again 5.2 Correlation Analysis The maximum value range of the correlation coefficient is h. When>c, the average value also increases; When the center increases and decreases; d is small and small, when-=31,% and complete correlation: f is larger, the better the correlation , the distribution pattern of the method is different (see 4), 5.3 Sweep the data of Table S for testing. When the variables are determined, there is a linear correlation at the level of the selected variable. At this time, the overall relevant items, this standard provides two and "risk balance for selection, the pressure of the 4 compensation is small, then the two concepts are required to be close to each other. The method of using the whole chart for loop communication and control is shown in B (special precautions) when the scattered chart should be used. See Appendix C for examples of reference), the table shows the periodic value of the correlation 0: 444 .. 258 0, 456 aota-50 -6.40:.n: Method: r center. Become the bottom right rate tendency. JB/T 373- 94 Layout type example (examination material) ..2..... .....:. JB/T 3736.6-·94 Appendix B Prediction and control methods using layout diagrams (reference material) After determining that the two variables are linearly correlated, draw the product change: and, then draw a monitoring line. When the regression line and the actual situation are well fitted, the prediction or control of the change is in the range of the prediction or control. BI draw a regression line on the scatter plot Calculate the mean of 2. Calculate the regression line for the whole series And the regression line on the scatter plot. This line is limited to the cause of change of the original data and cannot be arbitrarily extended. See BI. x B2 Draw the upper and lower control limits on the distribution of the standard deviation of the regression: Calculate the control limits Upper control limit Lower control limit JE/T3736.69 Method: 1! The control limits on the theory are shown: The standard limit is selected according to the number of monthly stops. The important considerations in the middle production are that when the price is falling and the amount is large, the falls within the range of , and the strong annual range is about 55.45%. The confidence within the range is 6826% c. The upper and lower control limits are shown in the figure, see Figure B1. B3 Predict for the given inference value range. See 2 pulse D4 Control When the requirement is to be in the heart. The change value should be controlled within the range shown in the figure or Figure 4. The control target cannot be achieved. 0, see Figure 3 If, then Figure B4. Processing core JB/F 3736. 6- 94 JB/T 3736. 6-94 Appendix Application examples of the market chart Reference materials! Example: The quality of the gas produced by the generator is mainly determined by the content of carbon dioxide (CO), which is difficult to determine, while it is easier to determine the content of carbon dioxide. We hope that the content of CO can be known and finally the content of C can be measured. CI drawing a: Analysis object. The relationship between the quality value C() and C content. b. Collect the 3C data of the production case or in Table C1. Set up a rectangular coordinate system and mark the data (,) in the corresponding positions, see Figure C1, Yt Production date Slow Yang language April of × View Co and co (the same point ××× BC5.69:75.46 =7y, 81 -90, 4 Date of mourning Analysis instrument Analysis room May 7, × Observation goods Oil sample 800,89 1,6,11 Sheng Yankou porridge! January, ×Www.bzxZ.net Delayed position Graphic analysis JD/F3736.6-94 Continued table C1 coc's meaning system 765. 24 1 :3).75 From C1, we can see that the correlation coefficient between CO and CO, is calculated by connecting the items listed in Table 1. b. Calculate L, L,, Lry white date -23818.29 Ln, = Zay =—c. 93 . Calculate the relative coefficient (195-32 135.3x845.3 V2.R1X0.53 -·0. 748 1.4 Correlation analysis center, there is a negative correlation table between and, analyzer analyzer global method 1274.21 238:8.29 Significance test of correlation coefficient take=0.01-2=2 JB/T 3736. f.-94 table=453calculated result-0.1810463so there is almost a linear correlation between perfect 2 and precipitation. C6Draw a regression line on the scatter plot [calculate the work, the debt and calculate the regression coefficient 28. =5 - (0. 333× 6. 51 List the regression straight line column ga—tr -- 3U. 34 -0. 33x Draw a regression line on the scatter plot: see 2. Tip: This standard content only shows part of the intercepted content of the complete standard. If you need the complete standard, please go to the top to download the complete standard document for free.