Statistics for Data Analysis Literacy (Beginner Level)

  • 11m
  • 11 questions
The Statistics for Data Analysis Literacy (Beginner Level) benchmark will measure your ability to recall and relate the underlying statistics concepts for data analysis. You will be evaluated on your ability to recognize the foundational concepts of statistics, such as data types, descriptive and inferential statistics, and their applications. A learner who scores high on this benchmark demonstrates that they have the basic statistics skills to understand and grasp the data analysis process.

Topics covered

  • define terms such as event, outcome, and experiment
  • describe what statistics, populations, and samples are
  • enumerate differences between random and non-random variables and describe the role of probability
  • import python libraries needed to work with probabilities
  • outline how to create balanced samples from an imbalanced dataset
  • recall what information is conveyed by measures such as standard deviation and variance
  • recognize how metrics such as mean, median and mode describe data
  • simulate the flipping of a coin in Python
  • simulate the picking of marbles from a bag in Python
  • simulate the rolling of a die in Python
  • summarize the workings a number of probability sampling techniques