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Analysis of Questionnaire Data with R

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Redna cena: 116,45 €
Predvideni rok dobave: 7-14 dni
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Količina:  
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Strošek dostave je enoten za celo Slovenijo in znaša 2,95 €, ne glede na količino in vrsto kupljenih izdelkov.

Številni izdelki imajo oznako "brezplačna dostava", kar pomeni, da v prmeru nakupa takšnega izdelka poštnine ne boste plačali. 

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Emka.si omogoča naslednje načine plačila:
  • z gotovino ob prevzemu (velja le za fizične osebe),
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  • Plačilo po predračunu (pravne osebe)
  • Račun z odlogom plačila (za javna podjetja)
Več o plačilih

Pri vsakem izdelku je naveden predviden rok dostave. Glede na to katere izdelke izberete, se vam pri oddaji naročila prikaže tudi končni predviden datum dobave vašega pakete.

Večino izdelkov dostavljamo iz lastne zaloge, zato so naši dobavni roki zelo kratki.

Ko vam bomo poslali paket boste o tem obveščeni tudi po emailu. V emailu bo navedena številka vašega paketa ter povezava do Pošte Slovenije, kjer boste lahko preverili natančen status dostave.

Več o dostavi

To je spletna cena
Shrani v seznam želja
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Opis

While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text. Additionally, many versions can be suggested, each with their advantages and disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure. Although syntax is vital, understanding the semantics is the real challenge of any good translation. In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations. Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand. Sometimes data sets contain errors, inconsistencies between answers, or missing data. More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results. Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.
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