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Introduction to IBM SPSS Neural Networks - ILT (0G023G)

Course Description Schedule Course Outline

Detailed Course Outline

  • Sampling basics
  • Probability and nonprobability samples
  • Sampling error
  • A sample SPSS Complex Samples session
  • Setting up a sampling plan
    • Stratification and clustering
    • One - and two - stage sampling designs
  • Entering an existing sampling plan
  • Data format and entry
  • Frequencies and descriptive summaries
  • Crosstabulation tables and tests of independence
  • Ratio estimation
  • General Linear Models
    • T-Tests
    • Linear Regression
  • Logistic Regression