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

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

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                                    WGU Applied Probability and Statistics (FZO1 C955) Sample Questions (Q96-Q101):

                                    NEW QUESTION # 96
                                    Probability of exactly 1 head in 2 coin flips = ?

                                    Answer: B

                                    Explanation:
                                    Two coin flips produce four equally likely ordered outcomes: HH, HT, TH, and TT. Exactly one head occurs in two of these outcomes: HT and TH. Therefore, the probability is 2 favorable outcomes out of 4 total outcomes, or 2/4 = 1/2. This can also be computed using the binomial model. There are n = 2 independent trials, success probability p = 1/2, and exactly one success is required. The binomial calculation is C(2,1)(1/2)