PDF Applied-Probability-and-Statistics Cram Exam & Applied-Probability-and-Statistics Valid Exam Voucher

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

SectionObjectives
Topic 1: Statistical Inference- Hypothesis Testing (Introductory Level)
  • 1. p-values interpretation
    • 2. Null vs alternative hypothesis
      - Estimation and Confidence Intervals
      • 1. Point estimates
        • 2. Confidence interval interpretation
          Topic 2: Descriptive Statistics- Single Variable Data Analysis
          • 1. Measures of dispersion (variance, standard deviation, range)
            • 2. Measures of central tendency (mean, median, mode)
              • 3. Data visualization (histograms, box plots)
                - Two Variable Data Analysis
                • 1. Scatter plots interpretation
                  • 2. Outliers and relationships
                    • 3. Correlation
                      Topic 3: Regression and Modeling- Linear Relationships
                      • 1. Slope and intercept interpretation
                        • 2. Simple linear regression
                          Topic 4: Probability Theory- Fundamental Probability Concepts
                          • 1. Independent vs dependent events
                            • 2. Basic probability rules
                              • 3. Conditional probability
                                - Probability Distributions
                                • 1. Normal distribution
                                  • 2. Binomial distribution basics

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                                    Free PDF Applied-Probability-and-Statistics - Applied Probability and Statistics (FZO1 C955) –Valid PDF Cram Exam

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                                    WGU Applied Probability and Statistics (FZO1 C955) Sample Questions (Q144-Q149):

                                    NEW QUESTION # 144
                                    Which graph displays data in a manner that is accurate?



                                    Answer: D

                                    Explanation:
                                    The accurate display is the bar graph labeled "Number of Feet Traveled" with the vertical axis showing the number of feet and the horizontal axis identifying the student travelers. For discrete observations associated with individual students, a bar graph is appropriate because each bar represents a separate category or individual and its height represents the measured value. Option A is inaccurate because its title states
                                    "Number of Miles Traveled," while the vertical axis is labeled in feet; this creates a unit mismatch. Option C uses a pie chart, which is designed to show parts of a whole, not individual measured distances unless the goal is proportional composition. Option D uses a line graph, which is typically reserved for ordered change, especially over time; connecting student traveler values implies continuity or trend that is not justified. The correct graph must use consistent units, clear labels, and an appropriate display type. References/topics from the Study Guide: data displays, bar graphs, categorical identifiers, quantitative measurements, graph accuracy.


                                    NEW QUESTION # 145
                                    The pie chart shows the contribution of different renewable energy sources to the total energy production.

                                    What is true about the given data?

                                    Answer: C

                                    Explanation:
                                    A pie chart displays how a whole is divided into categorical parts, usually as percentages totaling 100%. The chart shows solar at 35%, hydropower at 30%, wind at 20%, geothermal at 10%, and biomass at 5%. The largest percentage is solar, so solar power contributes the most to total energy production. Option A is false because hydropower plus biomass equals 30% + 5% = 35%, which is equal to solar, not more than solar.
                                    Option B is false because geothermal is 10%, while biomass is only 5%; therefore, biomass contributes the least. Option C is false because biomass plus geothermal equals 5% + 10% = 15%, which is less than wind at
                                    20%. The correct interpretation requires comparing category percentages accurately rather than relying on visual size alone. References/topics from the Study Guide: pie charts, categorical data, percentages, interpreting graphical displays.


                                    NEW QUESTION # 146
                                    What is the mode of this dataset: 3, 5, 7, 7, 10?

                                    Answer: B

                                    Explanation:
                                    The mode is the value that occurs most frequently in a data set. In the set 3, 5, 7, 7, 10, the value 3 appears once, 5 appears once, 10 appears once, and 7 appears twice. Since 7 has the highest frequency, it is the mode.
                                    This question tests recognition of a measure of center that differs from the mean and median. The mean would require summing all values and dividing by the number of observations, while the median would identify the middle value after ordering the data. The data are already ordered, and the middle value is also 7, but the reason the correct answer is 7 here is specifically because it appears more often than any other value. Options A, B, and D each name values that occur only once, so none can be the mode. A dataset may have one mode, multiple modes, or no mode, but this dataset is unimodal. References/topics from the Study Guide: descriptive statistics, measures of center, frequency, mode.


                                    NEW QUESTION # 147
                                    A marketing analyst is studying the relationship between customer age groups, teens, adults, and seniors, and their preferred shopping methods, online and in-store.
                                    Which numerical measure is most appropriate for this study?

                                    Answer: D

                                    Explanation:
                                    This study involves two categorical variables: customer age group and preferred shopping method. Age group is categorical because customers are classified into groups such as teens, adults, and seniors. Shopping method is also categorical because customers are classified as preferring either online or in-store shopping.
                                    When two categorical variables are analyzed together, conditional percentages are the most appropriate numerical summary because they describe how the distribution of one categorical variable changes within levels of another categorical variable. For example, the analyst could compute the percentage of teens who prefer online shopping, the percentage of adults who prefer online shopping, and the percentage of seniors who prefer online shopping. A five-number summary is used for quantitative data, not categorical data. Mean difference requires numerical measurements. A correlation coefficient measures the strength and direction of a linear relationship between two quantitative variables, so it is not appropriate here. References/topics from the Study Guide: two-variable categorical data, conditional percentages, categorical association, numerical summaries.


                                    NEW QUESTION # 148
                                    Given a normal distribution with a mean of 40 and a standard deviation of 6, what is the range that contains approximately 95% of the data?

                                    Answer: B

                                    Explanation:
                                    For a normal distribution, the empirical rule states that approximately 95% of the data fall within two standard deviations of the mean. The mean is 40, and the standard deviation is 6. Two standard deviations equal 2 × 6
                                    = 12. To construct the 95% interval, subtract and add 12 from the mean: 40 # 12 = 28 and 40 + 12 = 52.
                                    Therefore, the range containing approximately 95% of the data is 28 to 52. Option D, 34 to 46, represents one standard deviation from the mean and corresponds to about 68% of the data. Option B, 22 to 58, represents three standard deviations from the mean and corresponds to approximately 99.7% of the data. Option C is not based on the stated standard deviation. The correct interval must be symmetric around the mean and extend exactly two standard deviations in each direction. References/topics from the Study Guide: normal distribution, empirical rule, mean, standard deviation.


                                    NEW QUESTION # 149
                                    ......

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