IDEAS home Printed from https://ideas.repec.org/p/osf/thesis/27edm.html
   My bibliography  Save this paper

STATISTIKA DASAR Panduan Bagi Dosen dan Mahasiswa

Author

Listed:
  • Hidayati, Tri

    (Pamulang University)

Abstract

Buku ini merupakan sebuah pengantar bagi mahasiswa untuk memahami konsepkonsep dalam statistika. Buku ini menyajikan statistika deskriptif dan inferensial, Selain itu, buku ini memberikan pemahaman pada mahasiswa tentang konsep probabilitas dan penggunaanya. Berbagai tema tersebut diharapkan bisa digunakan untuk mengembangkan keilmuan dan sebagai dasar dalam mendalami disiplin ilmu yang terkait statistika. Buku ini menyajikan materi secara singkat dan jelas, sehingga mahasiswa bisa menangkap inti dari konsep yang dipelajari dengan mudah. Selain itu, buku ini menyajikan latihan soal agar mereka bisa melakukan refleksi dan evaluasi atas pemahaman yang telah mereka pelajari. Tugas evaluatif juga diberikan sehingga mempermudah dosen pengampu untuk melakukan evaluasi pembelajaran yang telah dilakukan dan mengetahui tingkat pemahaman mahasiswa.

Suggested Citation

  • Hidayati, Tri, 2020. "STATISTIKA DASAR Panduan Bagi Dosen dan Mahasiswa," Thesis Commons 27edm, Center for Open Science.
  • Handle: RePEc:osf:thesis:27edm
    DOI: 10.31219/osf.io/27edm
    as

    Download full text from publisher

    File URL: https://osf.io/download/5eb958cba2199501ac5d188c/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/27edm?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:thesis:27edm. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://thesiscommons.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.