SASB Level II Questions with Correct Answers 100% Verified 2024/2025 Recognizing Data Types Question - Correct Answers 1. Does the Metric yield Discrete Data?
2.Does the metric yield Continuous Data?
3.What is the possible range of performance on a topic?Discrete Data - Correct Answers Data that can only take certain values. IE Number of Requests or Number of data breaches.continous data - Correct Answers Numerical data that is not discrete. Can include fractions, infinitely
divisible. IE: Percentages or GHG emission data
normal distribution - Correct Answers A function that represents the distribution of variables as a symmetrical bell-shaped graph.Histogram - Correct Answers a bar graph depicting a frequency distribution Normalization of Data - Correct Answers Use an activity metric or financial metric to normalize data.Allows for easier comparison between companies. Makes it easier to compare a company to industry benchmarks. Makes a dataset potentially normally distributed.Measures of Central Tendency - Correct Answers Mean, Median, Mode. Mode is the highest point on the histogram Quantiles - Correct Answers Divisions of a probability distribution or frequency distribution into equal, ordered subgroups. Can help depict company performance in top, average, and laggards. Used
in two ways:
1. To indicate data value at a given quantile: 90th percentile is 90 million.
- Ranking of a given data value: Company's As performance was in the top quartile.
Types of Quantiles - Correct Answers Quartiles (4 quantiles) Quintiles (5 quantiles) Deciles( 10 quantiles) 1 / 2
Percentile (100 quantiles) Data Dispersion - Correct Answers the spread of values around a central tendency, such as the mean or median Measuring Data Dispersion - Correct Answers 1. Standard Deviation
- Variance (standard Deviation Squared)
- Mean absolute deviation (MAD), which is the average distance between each data value and the
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mean Standard Deviation - Correct Answers a computed measure of how much scores vary around the mean score. 68% , 95%, 99.7% Outlier - Correct Answers A value much greater or much less than the others in a data set. Can be understood potentially with normalization. Necessary to understand fundamental reason for outlier.Skewness - Correct Answers The extent to which cases are clustered more at one or the other end of the distribution of a quantitative variable rather than in a symmetric pattern around its center. If the left tail of a distribution chart is longer, the distribution is negatively skewed; if the right side is longer, it is positively skewed Cause of Skewness - Correct Answers Companies on the long-tailed end of a skewed distribution may be outliers performing better or worse than peers, or they may have unique issues that need to be taken into consideration to explain their over- or under-performance. Important to understand kurtosis distribution - Correct Answers A high kurtosis describes a chart with fat tails and even distribution, while a low kurtosis refers to a chart with skinny tails and distribution centered toward the mean. In mapping distribution on a SASB metric, high kurtosis charts will have results clustered at the ends and evenly distributed across the rest of the chart, while low kurtosis typically have results clustered in the middle with light distribution at the ends.Revenue and Skewness - Correct Answers As a result, a characteristic such as revenue could impact the distribution of SASB-reported data within an industry. In one example, 80 percent of companies in an industry have sales ranging from $100 million to $10 billion, while only a small handful of companies have revenue of $100 billion or more. In this case, the weight of the distribution of revenue is aggregated on the left side, and there is long right tail—the distribution is positively skewed