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

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

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

Data Science

21 Stunden

Fortgeschrittene

Kostenfrei

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Beschreibung

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t 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.

Was wirst du lernen?

  • 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

Welche Vorkenntnisse brauchst du?

Before attending this course, you should:

  • have completed the equivalent of an undergraduate course in statistics covering p-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 Programmierung 1: Grundlagen course.