SPSS Practice Exam

The IBM Certified Specialist - SPSS Statistics Level 1 v2 exam validates your fundamental knowledge and skills in using IBM SPSS Statistics, a powerful software program for data analysis. Earning this certification demonstrates your ability to import, describe, explore, and analyze data using SPSS Statistics.

Who Should Take This Exam?

This exam is ideal for individuals with a working knowledge of SPSS Statistics (version 15 or higher) who want to:

• Enhance their credibility in data analysis
• Gain a competitive edge in the job market
• Validate their proficiency in using SPSS Statistics

Required Skills

To succeed in this exam, you should possess basic skills in:

• Understanding statistical concepts
• Data manipulation and management in SPSS Statistics
• Performing descriptive and inferential statistical analyses
• Interpreting statistical outputs

Why is This Exam Important?

Earning the IBM Certified Specialist - SPSS Statistics Level 1 v2 certification demonstrates your proficiency in a widely used statistical software program. This can be valuable for various career paths, including:

• Data analysts
• Market researchers
• Survey researchers
• Social scientists
• Business analysts

Detailed Exam Course Outline

The exam covers a range of topics related to data analysis using SPSS Statistics, including:

• SPSS Statistics Basics: This section assesses your understanding of the user interface, data types, variable types, and data editing techniques in SPSS Statistics.
• Data Description: This section tests your ability to calculate descriptive statistics (measures of central tendency, dispersion, and skewness) and create visualizations (frequency tables, histograms, charts) to summarize data.
• Data Analysis: This section evaluates your proficiency in performing various statistical analyses, such as:
  • Hypothesis testing (t-tests, ANOVA)
  • Correlation analysis
  • Regression analysis
• Reporting and Interpretation: This section assesses your skills in interpreting statistical outputs, creating tables and charts to present results, and drawing conclusions from the data analysis.