symptom measurement
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2020 ◽  
Author(s):  
Adellina Sylvira Azis ◽  
M.Alfarisi Farabbi ◽  
Dian Kristianto Tatarang ◽  
Aziiz firmansyach

The statistic is a method developed for analyzing, analyzing, and compiling sample data to get the right data. Also, observation is needed to get accurate and concrete data. Various kinds of methods can be used to obtain the data, one of which is the Symptom Symptoms Data Center is the symptom data which is divided into two, namely the symptom center symptom data grouped and the data center symptom grouped. This journal will explain in detail the size of Symptoms in unclassified data centers Symptom Measurement of Unclassified Data Centers or also Symptom Size Single grouped data centers are data that are not arranged in a frequency distribution, so there are no category intervals and category midpoints. Symptom measurement data centers have not been grouped namely the calculated average (mean), measuring / geometric mean, harmonic average, tertiary average, median, mode, and fractile (quartile, decile, percentile). Measurement can use Microsoft Excel and SPSS applications


2020 ◽  
Vol 11 (4) ◽  
pp. 101418
Author(s):  
Aris Garro ◽  
Miriam Dash ◽  
John M. VanBuren ◽  
Lise E. Nigrovic

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jufang LI ◽  
Linda Denise OAKLEY ◽  
Roger L. BROWN ◽  
Yun LI ◽  
Yong LUO

2019 ◽  
Vol 22 ◽  
pp. S267
Author(s):  
I. Mazar ◽  
S. Ollis ◽  
S. Li ◽  
A. Yaworsky ◽  
C. Gwaltney

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1215 ◽  
Author(s):  
Reham Badawy ◽  
Yordan Raykov ◽  
Luc Evers ◽  
Bastiaan Bloem ◽  
Marjan Faber ◽  
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