Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression

Kód kurzu: ST142

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.

A more advanced treatment of ANOVA and regression occurs in the Statistics 2: ANOVA and Regression course. A more advanced treatment of logistic regression occurs in the Categorical Data Analysis Using Logistic Regression course and the Predictive Modeling Using Logistic Regression course.

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certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Forma: E-learning

Dĺžka kurzu: 3h 30min

Jazyk: en

Cena bez DPH: 0 EUR

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Počiatočný dátum: Na vyžiadanie

Forma: Na vyžiadanie

Dĺžka kurzu: 21 hodín

Jazyk: en

Cena bez DPH: 1 800 EUR

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Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
Na vyžiadanie E-learning 3h 30min en 0 EUR Registrovať
Na vyžiadanie Na vyžiadanie 21 hodín en 1 800 EUR Registrovať
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Popis kurzu

  • generate descriptive statistics and explore data with graphs
  • perform analysis of variance and apply multiple comparison techniques
  • perform linear regression and assess the assumptions
  • use regression model selection techniques to aid in the choice of predictor variables in multiple regression
  • use diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regression
  • use chi-square statistics to detect associations among categorical variables
  • fit a multiple logistic regression model
  • score new data using developed models.
  • Cieľová skupina

    Statisticians, researchers, and business analysts who use SAS programming to generate analyses using either continuous or categorical response (dependent) variables

    Štruktúra kurzu

    Predpokladané znalosti

    Before attending this course, you should
  • have completed the equivalent of an undergraduate course in statistics covering -values, hypothesis testing, analysis of variance, and regression
  • be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming 1: Essentials course.
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