Long long long time ago, I had studied but forgotten totally
A | data | |
B | Data_area | |
C | group | particular group or interval |
D | Bins_area | The max of the group |
E | Frequency | Count of the group |
F | Relative Frequency (%) | |
G | Cumulative Frequency | |
H | Relative Cumulative Frequency(%) | |
I | amount | Total frequency |
K | Mean Average(A) | average |
L | Median Median(A) | median |
M | Deviation Avedev(A) | absolute deviations from the mean |
N | Variance Var (A) | ΣM2/I-1 It describes how far values lie from the mean |
O | Standard Deviation Stdevp(A) | √(ΣM2/I) or √N How much variation there is from the "average". ↑spread out↑ ↓àclose to the mean |
P | Coefficient of Variation | The percentage of O O/K |
Q | Standard Score Standardize(A,H,L) | (A-K)/O how many standard deviations an observation or datum is above or below the mean ↓àclose to the mean
|
R | Deviation Score | Q*10+50 |
S | Pareto Analysis | order data count Cumulative Frequency draw histogram x axisàitem y axisà$$ 2th yaxisàF |
T | Scatter gram | x axisàreason X1 y axisàresult Y show the relation between Y and X1 if the data trend to become a line, they have strong relations |
U | Covariance Covar(X1,Y) | how much two variables change together |
V | Coefficient of Correlation CORREL(X1,Y) | U/X The relationship between the two samples |



