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

SectionObjectives
Probability Theory- Fundamental Probability Concepts
  • 1. Independent vs dependent events
    • 2. Conditional probability
      • 3. Basic probability rules
        - Probability Distributions
        • 1. Normal distribution
          • 2. Binomial distribution basics
            Descriptive Statistics- Two Variable Data Analysis
            • 1. Scatter plots interpretation
              • 2. Correlation
                • 3. Outliers and relationships
                  - Single Variable Data Analysis
                  • 1. Measures of central tendency (mean, median, mode)
                    • 2. Data visualization (histograms, box plots)
                      • 3. Measures of dispersion (variance, standard deviation, range)
                        Statistical Inference- Hypothesis Testing (Introductory Level)
                        • 1. Null vs alternative hypothesis
                          • 2. p-values interpretation
                            - 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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                                    The WGU Applied-Probability-and-Statistics certification from WGU is a sought-after recognition of Lead2PassExam skills and knowledge. With this Applied Probability and Statistics (FZO1 C955) certification, professionals can enhance their careers, boost earnings, and showcase their expertise in a competitive job market. The benefits of passing the Applied-Probability-and-Statistics Exam are numerous, but preparing for the exam is not a simple feat.

                                    WGU Applied Probability and Statistics (FZO1 C955) Sample Questions (Q32-Q37):

                                    NEW QUESTION # 32
                                    A dataset: 2, 4, 6, 8, 10. Variance = ?

                                    Answer: B

                                    Explanation:
                                    Variance measures the average squared distance of data values from the mean. For the dataset 2, 4, 6, 8, 10, the mean is (2 + 4 + 6 + 8 + 10) ÷ 5 = 30 ÷ 5 = 6. The deviations from the mean are #4, #2, 0, 2, and 4.
                                    Squaring these deviations gives 16, 4, 0, 4, and 16. The sum of squared deviations is 40. Using the sample variance formula, divide by n # 1, where n = 5. Thus, sample variance = 40 ÷ 4 = 10. Option A is correct.
                                    Option C, 6.25, does not result from the standard sample variance computation for these values. The important distinction is whether a problem is using sample variance or population variance; the provided answer set and calculation use the sample variance formula. Study Guide references/topics: variance, mean, squared deviations, sample variance.


                                    NEW QUESTION # 33
                                    The table shows the results of a survey of favorite movie genres.

                                    What is the probability of selecting an action and then a comedy respondent if the selection is replaced?

                                    Answer: B

                                    Explanation:
                                    Because the first selection is replaced, the two selections are independent. Replacement means the probability structure returns to its original state after the first respondent is selected. The probability of selecting an action respondent is 30%, or 0.30. The probability of selecting a comedy respondent is 35%, or 0.35. For independent sequential events, multiply the probabilities: 0.30 × 0.35 = 0.105. Converting 0.105 to a percentage gives 10.5%. Therefore, the probability of first selecting an action respondent and then selecting a comedy respondent is 10.5%. Option B does not result from multiplying the two relevant genre percentages.
                                    Options C and D are far too large because they resemble combined or unrelated percentages rather than the probability of a two-step ordered selection. The word "and" signals multiplication, while "replacement" confirms independence between draws. References/topics from the Study Guide: independent events, replacement, multiplication rule, probability with percentages.


                                    NEW QUESTION # 34
                                    Two dice rolled, probability of both even = ?

                                    Answer: D

                                    Explanation:
                                    A standard six-sided die has three even outcomes: 2, 4, and 6. Thus, the probability that one die lands on an even number is 3/6 = 1/2. When two dice are rolled, the outcomes are independent because the result of one die does not affect the other. Therefore, the probability that both dice are even is 1/2 × 1/2 = 1/4.
                                    Equivalently, there are 36 ordered outcomes for two dice. The even-even outcomes are formed from 3 even choices on the first die and 3 even choices on the second die, giving 3 × 3 = 9 favorable outcomes. Then 9/36 simplifies to 1/4. Option B gives the probability of one die being even, not both. Options C and D do not match the count or multiplication rule. Study Guide references/topics: independent events, dice probability, multiplication rule, sample space.


                                    NEW QUESTION # 35
                                    Regression R² = 0.64. Interpretation?

                                    Answer: B

                                    Explanation:
                                    The coefficient of determination, R², measures the proportion of variability in the response variable Y that is explained by the regression model using explanatory variable X. If R² = 0.64, then 64% of the variation in Y is explained by its linear relationship with X. The remaining 36% is unexplained by the model and may reflect other variables, random variation, measurement error, or nonlinear patterns. Option B is incorrect because R² is not the same as correlation. In simple linear regression, correlation r would be either +0.8 or #0.8, depending on the slope direction, because r² = 0.64. Option C is incorrect because the slope measures change in Y per one-unit change in X, not explained variation. Option D is incorrect because R² is not a probability of making a correct prediction. It is a proportion of variation accounted for by the model. Study Guide references
                                    /topics: regression, coefficient of determination, explained variation, linear modeling.


                                    NEW QUESTION # 36
                                    A teacher plots the test scores of a class using the box plot.

                                    What is the interquartile range?

                                    Answer: D

                                    Explanation:
                                    The interquartile range, abbreviated IQR, measures the spread of the middle 50% of a data set. In a box plot, the left edge of the box represents the first quartile, Q1, and the right edge of the box represents the third quartile, Q3. The IQR is computed as Q3 # Q1. In the displayed box plot, Q1 is located at 70 points and Q3 is located at approximately 88 points. Therefore, the interquartile range is 88 # 70 = 18 points. The median, shown by the line inside the box, is about 80 points, but the median is not used in the IQR calculation. The whiskers show the approximate minimum and maximum values, but those define the full range, not the interquartile range. The correct answer is 18 points. References/topics from the Study Guide: box plots, quartiles, interquartile range, five-number summary.


                                    NEW QUESTION # 37
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