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Data and Analysis Flashcards

7 cards from real APCSP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which of the following BEST explains why large datasets are often sampled rather than fully analyzed?

    Answer: Processing the entire dataset may be computationally infeasible

    For extremely large datasets, analyzing every record may require prohibitive time or computing resources, making representative sampling a practical alternative.

  2. A program stores the value 3.14159 but later retrieves 3.14158999999. What phenomenon caused this discrepancy?

    Answer: Floating-point representation error

    Floating-point numbers cannot always be represented exactly in binary, leading to small rounding errors when storing or performing arithmetic on decimal values.

  3. Which of the following data transformations would make it EASIEST to compare test scores from two classes with very different score ranges?

    Answer: Normalizing each score to a 0–1 scale

    Normalizing scales both datasets to the same 0–1 range, removing the effect of different score magnitudes and allowing meaningful comparison.

  4. A bar chart compares the favorite sports of students in three different schools. What is the INDEPENDENT variable?

    Answer: The school

    The school is the independent variable being compared across; the student counts for each sport are the dependent measurements within each school.

  5. What is the purpose of a primary key in a database table?

    Answer: To uniquely identify each record in the table

    A primary key is a unique identifier for each row in a database table, ensuring no two records have the same key value.

  6. Which of the following describes a benefit of using data visualization over raw tables of numbers?

    Answer: Patterns and trends are easier to identify visually than in raw numbers

    Charts and graphs allow humans to quickly perceive trends, outliers, and patterns that would be difficult to spot by scanning rows of raw numbers.

  7. A survey asks 'Do you agree that our product is excellent?' This question is an example of:

    Answer: A biased question that may skew data

    The phrase 'excellent' is leading language that primes respondents toward agreement, introducing bias that can invalidate survey data.