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Ukuran Gejala Data Belum Dikelompokan (Studi Kasus : Jumlah Warga Yang Meninggal Akibat Terjangkit Virus Covid-19 di Kota Depok Per-oktober 2020)

Author

Listed:
  • Azis, Adellina Sylvira
  • Farabbi, M.Alfarisi
  • Tatarang, Dian Kristianto
  • firmansyach, Aziiz

Abstract

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

Suggested Citation

  • Azis, Adellina Sylvira & Farabbi, M.Alfarisi & Tatarang, Dian Kristianto & firmansyach, Aziiz, 2020. "Ukuran Gejala Data Belum Dikelompokan (Studi Kasus : Jumlah Warga Yang Meninggal Akibat Terjangkit Virus Covid-19 di Kota Depok Per-oktober 2020)," OSF Preprints hv47u, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:hv47u
    DOI: 10.31219/osf.io/hv47u
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