Course Outline

Using the program

  • The dialog boxes
    • input / downloading data
    • the concept of variable and measuring scales
    • preparing a database
    • Generate tables and graphs
    • formatting of the report
  • Command language syntax
    • automated analysis
    • storage and modification procedures
    • create their own analytical procedures

Data Analysis

  • descriptive statistics
    • Key terms: eg variable, hypothesis, statistical significance
    • measures of central tendency
    • measures of dispersion
    • measures of central tendency
    • standardization
  • Introduction to research the relationships between variables
    • correlational and experimental methods
  • Summary: This case study and discussion

Requirements

Motivation to learn

  14 Hours
 

Testimonials

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