IBM SPS-100 Exam Details & Actual Exam Questions

  • Exam Code/Number: SPS-100
  • Exam Name/Title: IBM SPSS Statistics Level 1
  • Certification Provider: IBM
  • Corresponding Certification: IBM Specialist
  • Exam Questions: 70
  • Updated On: Sep,10 2026
  • Certification Level: Specialist / Entry Level

IBM SPSS Statistics Level 1 Exam Questions

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This exam has been stopped to register, new exam code replace: BAS-011

IBM SPS-100 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM SPSS Statistics Level 1
Exam Number:SPS-100 (Retired, replaced by C2090-011)
Passing Score:67%
Related Certifications:IBM SPSS Statistics Level 2
Exam Duration:90 minutes
Exam Price:$200 USD
Available Languages:English
Real Exam Qty:55–70
Exam Format:Multiple choice
Certificate Validity Period:3 years
Recommended Training:IBM SPSS Statistics Level 1 Preparation Guide
IBM SPSS Statistics Essentials
Exam Registration:Pearson VUE IBM Exam Registration
IBM Certification Portal
Sample Questions:IBM SPS-100 Sample Questions
Exam Way:In-person at Pearson VUE test centers or online proctored via OnVUE
Pre Condition:Basic knowledge of statistics and SPSS software usage; no formal prerequisite exam required
Official Syllabus URL:https://www.ibm.com/training/certification

IBM SPS-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Basic Inferential Statistics20%- Chi-square and non-parametric tests
- t-tests and ANOVA
- Correlation and regression analysis
Topic 2: Operations and Basic Usage15%- Launch and navigate SPSS interface
- Use menus, dialogs, and syntax editor
- Set preferences and options
Topic 3: Descriptive Statistics20%- Crosstabs and contingency tables
- Graphs and charts for description
- Frequencies, means, and dispersion measures
Topic 4: Reading and Defining Data20%- Import data from different file formats
- Manage datasets and cases
- Define variable properties (type, label, measure)
Topic 5: Data Management25%- Select, sort, and split files
- Compute new variables and recode values
- Identify and handle duplicate cases
- Aggregate and restructure data


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