WGU Applied-Probability-and-Statistics Exam Information and Actual Questions

  • Exam Code/Number: Applied-Probability-and-Statistics
  • Exam Name/Title: Applied Probability and Statistics (FZO1 C955)
  • Certification Provider: WGU
  • Corresponding Certification: Courses and Certificates
  • Exam Questions: 158
  • Updated On: Aug 31, 2026

Applied-Probability-and-Statistics
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Applied-Probability-and-Statistics Exam
Applied Probability and Statistics (FZO1 C955)

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WGU Applied-Probability-and-Statistics Exam Overview:

Certification Vendor:Western Governors University (WGU)
Exam Name:Applied Probability and Statistics
Exam Number:C955 (FZO1 Applied Probability and Statistics)
Exam Duration:120 minutes
Exam Price:Included in WGU tuition (USD)
Available Languages:English
Passing Score:Competency-based (Proficient / Competent required)
Related Certifications:WGU Bachelor of Science programs (various majors)
Exam Format:Problem-solving / quantitative questions, Objective Assessment (proctored), Multiple-choice questions
Certificate Validity Period:No expiration (course completion requirement only)
Sample Questions:WGU Applied-Probability-and-Statistics Sample Questions
Exam Way:Online proctored Objective Assessment (OA) delivered through WGU assessment platform
Pre Condition:No formal prerequisite exam required; recommended foundational algebra skills.
Official Syllabus URL:https://www.wgu.edu/

WGU Applied-Probability-and-Statistics Exam Syllabus Topics:

SectionObjectives
Probability Distributions- Continuous distributions
  • 1. Standard normal and z-scores
    • 2. Normal distribution
      - Discrete distributions
      • 1. Binomial distribution
        • 2. Poisson distribution (introductory use cases)
          Probability- Fundamental probability concepts
          • 1. Events and sample spaces
            • 2. Conditional probability and independence
              - Probability rules
              • 1. Bayes’ theorem (introductory level)
                • 2. Addition and multiplication rules
                  Statistical Inference- Hypothesis testing
                  • 1. t-tests and z-tests (basic application)
                    • 2. Null and alternative hypotheses
                      - Estimation
                      • 1. Confidence intervals for means and proportions
                        Regression and Correlation- Relationship analysis
                        • 1. Simple linear regression basics
                          • 2. Correlation coefficient interpretation
                            Descriptive Statistics- Data visualization
                            • 1. Histograms and frequency distributions
                              • 2. Box plots and interpretation
                                - Data summarization
                                • 1. Measures of variability (range, variance, standard deviation)
                                  • 2. Measures of central tendency (mean, median, mode)


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