Free PDF Quiz 2026 Applied-Probability-and-Statistics - Applied Probability and Statistics (FZO1 C955) Authorized Exam Dumps

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

SectionObjectives
Probability Theory- Probability Distributions
  • 1. Binomial distribution basics
    • 2. Normal distribution
      - Fundamental Probability Concepts
      • 1. Conditional probability
        • 2. Independent vs dependent events
          • 3. Basic probability rules
            Descriptive Statistics- Single Variable Data Analysis
            • 1. Measures of dispersion (variance, standard deviation, range)
              • 2. Data visualization (histograms, box plots)
                • 3. Measures of central tendency (mean, median, mode)
                  - Two Variable Data Analysis
                  • 1. Scatter plots interpretation
                    • 2. Correlation
                      • 3. Outliers and relationships
                        Statistical Inference- Hypothesis Testing (Introductory Level)
                        • 1. p-values interpretation
                          • 2. Null vs alternative hypothesis
                            - Estimation and Confidence Intervals
                            • 1. Confidence interval interpretation
                              • 2. Point estimates
                                Regression and Modeling- Linear Relationships
                                • 1. Slope and intercept interpretation
                                  • 2. Simple linear regression

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                                    WGU Applied Probability and Statistics (FZO1 C955) Sample Questions (Q72-Q77):

                                    NEW QUESTION # 72
                                    Independent events: P(A|B) = ?

                                    Answer: B

                                    Explanation:
                                    For independent events, the occurrence of one event does not change the probability of the other. Conditional probability P(A|B) means the probability of A occurring given that B has occurred. If A and B are independent, knowing B occurred gives no new information about A. Therefore, P(A|B) = P(A). This is one of the defining properties of independence. For example, if a coin toss and a die roll are independent, knowing the die landed on 4 does not change the probability that the coin landed heads; it remains 1/2. Option B reverses the event being measured. Option C would imply that A becomes impossible after B, which describes a different situation. Option D is an addition expression and does not represent conditional probability. The correct relationship is that the conditional probability equals the original probability when events are independent. Study Guide references/topics: independent events, conditional probability, probability rules, event relationships.


                                    NEW QUESTION # 73
                                    A school surveyed student participation in extracurricular activities. The survey found:
                                    * The drama club had 50% of students participate.
                                    * The science club had 30% of students participate.
                                    * Both clubs had 15% of students participate.
                                    What is the probability that a student participated in the drama club, given that they attended the science club?

                                    Answer: C

                                    Explanation:
                                    This question asks for a conditional probability. The phrase "given that they attended the science club" means the science club group becomes the restricted reference group. The required probability is P(drama club | science club), which is calculated as P(drama and science) divided by P(science). The problem states that 15% of students participated in both clubs, so P(drama and science) = 0.15. It also states that 30% participated in the science club, so P(science) = 0.30. Therefore, P(drama | science) = 0.15 ÷ 0.30 = 0.50. This means that among students who attended the science club, half also participated in drama club. Option A gives the joint probability, not the conditional probability. Option B gives only the science club participation rate. Option C does not match the conditional probability calculation. References/topics from the Study Guide: conditional probability, joint probability, probability ratios, two-event probability.


                                    NEW QUESTION # 74
                                    Probability of exactly 1 head in 2 coin flips = ?

                                    Answer: A

                                    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)

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