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Lesson 1: Analyzing New Satellite Data — Practice Questions

  1. 1. A biologist is studying how water temperature affects algae growth rate. Which of the following data sets is the most relevant to her investigation?

    • A. A report on the different species of fish that eat algae in the wild.
    • B. Historical records of ocean salinity in the area where the algae were collected.
    • C. Algae mass measured daily in tanks kept at different, controlled temperatures.
    • D. An analysis of the chemical composition of the glass used for the tanks.
  2. 2. A student claims that plants grow taller in sunlight. Which of the following pieces of evidence would be considered the lowest quality to support this claim?

    • A. A statement saying, "I looked at some plants and the ones in the sun seemed a bit taller."
    • B. A chart showing the exact height of 10 plants measured weekly, with 5 in sun and 5 in shade.
    • C. A data table from a university study comparing plant growth under controlled light conditions.
    • D. A time-lapse video documenting the growth of two identical plants, one in sun and one in shade.
  3. 3. A scientist has collected a large, precise data set using a reliable method. What is the next critical step before using this data to support a claim?

    • A. Publishing the data immediately in a scientific journal.
    • B. Judging if the data is relevant to the specific question being asked.
    • C. Redoing the experiment with different equipment to see if the results change.
    • D. Creating a complex visual graph, even if the data is simple.
  4. 4. In a scientific context, what makes a piece of evidence "relevant"?

    • A. It was collected with the newest equipment.
    • B. It helps answer the specific research question.
    • C. It is presented in a visually appealing graph.
    • D. It has been approved by many other scientists.
  5. 5. When evaluating scientific evidence, why is it important to consider whether it comes from a reliable source?

    • A. Reliable sources always present data that is easy to understand.
    • B. Information from unreliable sources is always intentionally misleading.
    • C. A reliable source indicates that the data was likely collected using established, careful methods.
    • D. Only data published in the most famous scientific journals can be considered reliable.
  6. 6. What is the primary goal of data analysis in a scientific investigation?

    • A. To collect as much raw information as possible using technology.
    • B. To organize data into visually appealing charts and graphs for presentation.
    • C. To identify meaningful patterns and clues within raw information.
    • D. To prove a pre-existing hypothesis is definitively correct.
  7. 7. When scientists receive a massive dataset, such as thousands of satellite images, what is the crucial first step in converting that data into scientific evidence?

    • A. Immediately publishing the raw images for public review.
    • B. Archiving the data for future generations of scientists to study.
    • C. Scanning the information for repeating shapes, textures, or alignments.
    • D. Designing a completely new satellite with better cameras to get more detailed images.
  8. 8. A glaciologist studying satellite images of Antarctica notices a series of long, parallel scratches on an exposed rock face. In the context of data analysis, what does this observation represent?

    • A. A pattern
    • B. A hypothesis
    • C. A data error
    • D. A scientific law
  9. 9. Why are patterns found in satellite images of a planet's surface, like Mars, so important to scientists?

    • A. They are aesthetically pleasing and increase public interest in space exploration.
    • B. They indicate that the data collection technology is functioning correctly.
    • C. They are considered the fingerprints of geologic processes that have shaped the planet's surface over time.
    • D. They help calibrate the colors in the high-resolution images.
  10. 10. What is the fundamental relationship between raw data and scientific evidence?

    • A. Raw data is numerical, while scientific evidence is always visual.
    • B. Scientific evidence is raw data that has been analyzed to reveal meaningful patterns or information.
    • C. Raw data is collected by machines, while scientific evidence is collected by humans.
    • D. Scientific evidence is the same as raw data, but it has been published in a journal.