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

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

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                                    WGU Applied Probability and Statistics (FZO1 C955) Sample Questions (Q43-Q48):

                                    NEW QUESTION # 43
                                    A researcher has collected information on students from a school. The researcher wants to display the ethnic groups represented in the school.
                                    Which pair of graphs both display data in this manner?

                                    Answer: B

                                    Explanation:
                                    Ethnic group is a categorical variable because it classifies students into named groups rather than measuring a numerical quantity. Categorical data are commonly displayed with bar graphs or pie charts. A bar graph shows the frequency or relative frequency of each category using separate bars, making it easy to compare group sizes. A pie chart shows how the whole student population is divided among categories, making it useful for displaying proportions or percentages. Therefore, the correct pair is bar graph and pie chart. A box plot is used for quantitative data and summarizes values using quartiles and a median, so it is not appropriate for ethnic categories. A line graph is typically used to show change over time or ordered numerical trends. A histogram is used for distributions of quantitative data grouped into intervals, not named categories. Since the goal is to display category membership, both selected graphs must support categorical frequency or percentage displays. References/topics from the Study Guide: categorical data displays, bar graphs, pie charts, relative frequency.


                                    NEW QUESTION # 44
                                    There are 20 men in a room whose heights are reflected in inches as 68, 70, 73, 67, 71, 68, 76, 70, 73, 66, 68,
                                    69, 71, 74, 73, 72, 65, 60, 70, and 78 inches respectively.
                                    What is the median of these data?

                                    Answer: A

                                    Explanation:
                                    The median is the middle value of an ordered data set. Because there are 20 observations, the number of data values is even, so the median is the average of the 10th and 11th values after the data are arranged from least to greatest. Ordering the heights gives 60, 65, 66, 67, 68, 68, 68, 69, 70, 70, 70, 71, 71, 72, 73, 73, 73, 74, 76,
                                    78. The 10th value is 70, and the 11th value is also 70. The median is therefore (70 + 70) ÷ 2 = 70. This value divides the ordered heights into two equal halves: ten values are at or below 70, and ten values are at or above
                                    70. The median is resistant to extreme values, so the low value 60 and the high value 78 do not distort it the way they could affect the mean. References/topics from the Study Guide: median, ordered data, measures of center, quantitative data.


                                    NEW QUESTION # 45
                                    Correlation coefficient r = #0.5 #

                                    Answer: A

                                    Explanation:
                                    The correlation coefficient r describes the direction and strength of a linear relationship between two quantitative variables. Its values range from #1 to +1. A negative value indicates that as one variable increases, the other tends to decrease. Since r = #0.5, the direction is negative. Its magnitude, 0.5, is not close enough to zero to indicate no relationship, but it is also not close enough to #1 to represent an extremely strong relationship. Therefore, the best description is a moderate negative linear relationship. Option B is incorrect because the sign is negative, not positive. Option C is incorrect for both direction and strength.
                                    Option D would be appropriate only when r is near 0, indicating little or no linear association. A scatterplot with r = #0.5 would generally show a downward trend, but with noticeable scatter around the trend. Study Guide references/topics: correlation coefficient, negative association, scatterplots, linear relationship strength.


                                    NEW QUESTION # 46
                                    A university surveys faculty and students to determine support for a new campus recycling initiative.
                                    The results of the survey are shown in the following 2 × 2 contingency table:

                                    Which statement is true?

                                    Answer: D

                                    Explanation:
                                    This problem compares conditional percentages across two groups. For faculty members, 40 out of 50 support the recycling initiative, so the faculty support rate is 40/50 = 0.80, or 80%. For students, 200 out of 500 support the initiative, so the student support rate is 200/500 = 0.40, or 40%. Comparing 80% and 40% shows that faculty members are twice as likely as students to support the initiative. This is not a slight difference; it is a large difference of 40 percentage points. Therefore, the correct statement is that faculty members are much more likely than students to support the recycling initiative. The table contains two categorical variables: group type and recycling opinion. Conditional percentages are the appropriate numerical tool because the goal is to compare support within each group. References/topics from the Study Guide:
                                    contingency tables, two-way categorical data, conditional percentages, comparative proportions.


                                    NEW QUESTION # 47
                                    What percent of data lies within 2 standard deviations of the mean in a normal distribution?

                                    Answer: C

                                    Explanation:
                                    For a normal distribution, the empirical rule, also called the 68-95-99.7 rule, describes how data are distributed around the mean. Approximately 68% of observations fall within 1 standard deviation of the mean, approximately 95% fall within 2 standard deviations, and approximately 99.7% fall within 3 standard deviations. The question asks specifically for the percentage within 2 standard deviations, so the correct value is 95%. This interval is written as # # 2# to # + 2#, where # is the mean and # is the standard deviation.
                                    Option B corresponds to one standard deviation, not two. Option C is an imprecise version of the three- standard-deviation rule, and option D has no standard empirical-rule interpretation in this context. This rule is frequently used to estimate ranges in bell-shaped distributions. Study Guide references/topics: normal distribution, empirical rule, standard deviation, distribution spread.


                                    NEW QUESTION # 48
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