Identify different types of probability distributions and their properties, and interpret calculations using the normal distribution, including probabilities, value estimates, and z-scores Identify and interpret different types of descriptive statistics, including frequency distributions, measures of central tendency, and measures of variability Identify the role and applications of statistics in the data analytics landscape, specifically in regard to making estimates about population parameters from sample statistics
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