| Explains the basic concepts of statistics and their importance in data science. |
| Distinguishes between data types and levels of measurement. |
| Classifies data and summarizes it using frequency distributions and cross-tabulations. |
| Visualizes and interprets data using appropriate tables and graphs. |
| Calculates measures of central tendency and interprets the results. |
| Calculates measures of variability and location and evaluates data distribution. |
| Applies basic probability concepts and rules to statistical problems. |
| Distinguishes between discrete and continuous random variables and basic probability distributions. |
| Performs descriptive statistical analyses on real-world data sets. |
| Interprets and reports the results of statistical analyses in the context of data science problems. |