← All SAEE Flashcard Decks

SAEE - Data Collection and Analysis Questions and Answers Flashcards

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

Read the first 7 SAEE - Data Collection and Analysis Questions and Answers flashcards as text
  1. A principal wants to evaluate student satisfaction with cafeteria food by surveying every 10th student who enters the cafeteria. This is an example of which sampling method?

    Answer: Systematic sampling

    Systematic sampling selects every nth individual from a population list or stream.

  2. Which measure of central tendency is MOST resistant to the influence of extreme outlier scores in a data set?

    Answer: Median

    The median is resistant to outliers because it reflects the middle value regardless of extreme scores.

  3. A school collects data on student attendance rates over five years. Which type of graph is MOST appropriate to display trends over time?

    Answer: Line graph

    Line graphs are ideal for showing changes and trends across a continuous time period.

  4. An administrator notices that schools with more library books also tend to have higher reading scores. This relationship is best described as:

    Answer: Correlation

    Correlation describes a statistical relationship between two variables without implying one causes the other.

  5. Which data collection method is MOST appropriate when an administrator needs in-depth understanding of a few teachers' instructional challenges?

    Answer: Focus group interview

    Focus group interviews provide rich qualitative data about specific experiences and perceptions.

  6. A district wants to compare this year's third-grade math scores to last year's. Which statistical tool is MOST directly useful for this comparison?

    Answer: Mean comparison

    Comparing means provides a straightforward summary statistic to evaluate performance differences between two groups.

  7. When analyzing benchmark assessment data, a school leader finds that 80% of students scored below proficiency. This is an example of using data for:

    Answer: Identifying areas needing instructional intervention

    Benchmark data revealing widespread underperformance signals a need for targeted instructional support and intervention.