metinuslu / basemodeler

BaseModeler

BaseModeler is Basic Statistics, Normality Test, QQ Plot & Box-Whisker Plot, Outlier Methods (Outlier Detection Model: "J. Tukey, Modified Thompson Tau)

• One Sample Statistics & Detection Of Outlier Values
• Time of System : 06 Şub 2018 - 11:29:49
• System Path : C:/Users/Test/Documents
• Directory Path : H:/Google Drive/Books/Analysis/BaseModeler/
• Input Path : H:/Google Drive/Books/Analysis/BaseModeler/input/
• Output Path : H:/Google Drive/Books/Analysis/BaseModeler/output/

1- Basic Statistics

• Mean : 2.914866
• %5 of Trimmed Mean : 1
• %95 Confidence Interval of Mean
  • Lower Bound : 2.798814
  • Upper Bound : 3.030917
• Median : 1
• Mode : 1
• Minimum : 1
• Maximum : 490
• Quartile 1 : 1
• Quartile 3 : 3
• Interquar. Range(IQR) : 2
• Skewness : 38.25902
• Kurtosis : 2069.259
• Sum : 50981
• Variance : 58.8888
• Std. Deviation : 7.673904
• Std. Error : 0.05802584
• Count : 17490
• Range : 489

2- Normality Test

Anderson-Darling test for normality

Notes: Data size > 5000

• Use the Test Name : Anderson-Darling normality test
• Use the Test Stat. values : 3733.203
• Use the Test Stat. P-Value : 3.7e-24
• Result : 3.7e-24 < 0.05 olduğundan Normal Dağılım göstermiyor
• Output File : H:/Google Drive/Books/Analysis/BaseModeler/output/Normality_68-95-99_Rules.jpg

Shapiro-Wilk Normality Test

Notes: a numeric vector of data values. Missing values are allowed, but the number of non-missing values must be between 3 and 5000.

• Use the Test Name : Shapiro-Wilk normality test
• Use the Test Stat. values : value
• Use the Test Stat. P-Value : value
• Result : value
• Output File : H:/Google Drive/Books/Analysis/BaseModeler/output/Normality_68-95-99_Rules.jpg

Normality 68-95-99.7 Rules

Normal Distribution 68 - 95 - 99.7 Rules
Mean ± 1xStdDeviation %68 : -4.759038 between 10.58877
Mean ± 2xStdDeviation %95 : -12.43294 between 18.26267
Mean ± 3xStdDeviation %99.7 : -20.10685 between 25.93658

3- QQ Plot

Add to QQ-Plot Graf

• Output File : H:/Google Drive/Books/Analysis/BaseModeler/output/QQPlot_1517917312.jpg

4- Box - Whisker Plot

Add to Box-Whisker Plot Graf

• Output File : H:/Google Drive/Books/Analysis/BaseModeler/output/BoxWhiskerPlot_1517917333.jpg
• Output File : H:/Google Drive/Books/Analysis/BaseModeler/output/BoxWhiskerPlot_OutlierValues_1517917333.csv

5- Outlier Detection Model: "J. Tukey"

Outlier and Extreme Values

k: 1.5 # Outlier Values
k: 3 # Extreme Values

Formula

Q1 - k x IQR(data) OR Q1 - k x (Q3-Q1)
Q3 + k x IQR(data) OR Q3 + k x (Q3-Q1)

Outlier Values

Q1 - 1.5 x IQR(data) OR Q1 - 1.5 x (Q3-Q1)
Q3 + 1.5 x IQR(data) OR Q3 + 1.5 x (Q3-Q1)

Extreme Values

Q1 - 3 x IQR(data) OR Q1 - 3 x (Q3-Q1)
Q3 + 3 x IQR(data) OR Q3 + 3 x (Q3-Q1)

Down Value Compute Formula : Q1 - 1.5xIQR(data) OR Q1 - 1.5x(Q3-Q1)
Up Value Compute Formula : Q3 + 1.5xIQR(data) OR Q3 + 1.5x(Q3-Q1)
Outlier Down Value & Up Value : -2 & 6

Extreme Down Value Compute Formula : Q1 - 3xIQR(data) OR Q1 - 3x(Q3-Q1)
Extreme Up Value Compute Formula : Q3 + 3xIQR(data) OR Q3 + 3x(Q3-Q1)
Extreme Down & Up Value : -5 & 9

Down Value Compute Formula : Q1 - 1.5xIQR(data) OR Q1 - 1.5x(Q3-Q1)
Up Value Compute Formula : Q3 + 1.5xIQR(data) OR Q3 + 1.5x(Q3-Q1)
Outlier Down Value & Up Value : -2 & 6

Extreme Down Value Compute Formula : Q1 - 3xIQR(data) OR Q1 - 3x(Q3-Q1)
Extreme Up Value Compute Formula : Q3 + 3xIQR(data) OR Q3 + 3x(Q3-Q1)
Extreme Down & Up Value : -5 & 9

Output File : H:/Google Drive/Books/Analysis/BaseModeler/output//Data1_OutlierValues1_1517917363.csv
Output File : H:/Google Drive/Books/Analysis/BaseModeler/output//Data1_ExtOutlierValues2_1517917363.csv

6- Modified Thompson Tau

Source: StatisticsHowTo
Output File : H:/Google Drive/Books/Analysis/BaseModeler/output/Data2_ModifiedThompsonTauTest_OutlierValues1_1517917447.csv