1. Which of the following is NOT a common data visualization technique used in data science? A. Scatter plots B. Line graphs C. Histograms D. Descriptive statistics Answer: D. Descriptive statistics Rationale: Descriptive statistics involves summarizing and presenting data values, not visually representing data patterns. 2. How is machine learning different from traditional statistical analysis? A. Machine learning requires large data sets B. Machine learning does not rely on prior assumptions C. Machine learning is more computationally intensive D. Machine learning focuses on prediction rather than inference Answer: D. Machine learning focuses on prediction rather than inference Rationale: Machine learning algorithms are designed to make predictions based on patterns in data, whereas traditional statistical analysis is focused on drawing inferences from data.