Kapak Resmi

Statistics Applied With Excel Data Analysis Is (Not) an Art /

This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and grad...

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Kaydedildi:
Detaylı Bibliyografya
Yazar: Kronthaler, Franz (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2023.
Edisyon:1st ed. 2023.
Konular:
Statistics > Computer programs.
Statistics .
Quantitative research.
Statistical Software.
Applied Statistics.
Data Analysis and Big Data.
Online Erişim:https://doi.org/10.1007/978-3-662-64319-8
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
İçindekiler:
  • Part 1 - Basic knowledge and tools to apply statistics
  • Statistics is fun
  • Excel: A brief introduction and the statistical possibilities
  • Part 2 - Describe, nothing but describe
  • Mean values: How people and objects behave on average
  • Scatter: The deviation from average behavior
  • Graphs: The possibility to represent data visually
  • Correlation: Of the correlation
  • Ratio and index numbers: The chance to generate new things from old knowledge
  • Part 3 - From Few to All
  • Of Data and the Truth
  • Hypotheses: Just a specification of the question
  • Normal distribution and other test distributions
  • Hypothesis testing: What is Valid?
  • Part 4 - Procedures for Testing Hypotheses
  • The Mean Test
  • The Test for Difference of Means in Independent Samples
  • The Test for Difference of Means in Dependent Samples
  • The Analysis of Variance for Testing for Group Differences in More than Two Groups
  • The Test for Correlation in Metric, Ordinal, and Nominal Data
  • Further Test Procedures for Nominal Variables
  • Summary Part IV - Overview of testing procedures
  • Part 5 - Regression analysis
  • The linear single regression
  • The multiple regression analysis
  • Part 6 - What's next
  • Brief report on a research question
  • Further statistical procedures
  • Interesting and further statistics books
  • Another data set to practice on - Intern of a company
  • Appendix.

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