Final answer:
Creating a lookup question requires specifying criteria to search for in a dataset, like finding the average temperature for a specific city and month. Research questions should foster investigation, not just be yes-or-no, and should be based on examples that allow evaluating evidence in relation to a scientific question.
Step-by-step explanation:
Creating a lookup question involves identifying a particular value within a dataset based on specific criteria. For instance, in a dataset that tabulates the average temperatures for each month in various cities, a lookup question may ask: What is the average temperature in New York City in the month of July? This type of question is clear, as it specifies the city (New York City) and the time frame (month of July), allowing the student to search the dataset for this specific value.
To brainstorm effective lookup questions, students can utilize the examples provided in textbooks, which often demonstrate how to extract and analyze information from datasets. Research questions should not be simply yes-or-no queries; they should encourage investigation and deeper understanding of the data. Students can use examples set apart in yellow boxes to guide their creation of questions that are open-ended and require them to evaluate evidence provided by data sets in relation to a scientific question.