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In Physics / High School | 2025-07-05

An electric device delivers a current of [tex]$15.0 A$[/tex] for 30 seconds. How many electrons flow through it?

Asked by pewoot

Answer (1)

Analyze the data: Each group started with 100 mL of vegetable oil and 100 mL of engine oil.
Check each group's data: Identify if any group removed more than 100 mL of either type of oil.
Determine the unreliable data: Group 2 removed 110 mL of vegetable oil and 130 mL of engine oil, both exceeding the initial amount.
Conclude: Group 2's data is unreliable. g ro u p 2 ​

Explanation

Analyzing the Problem We need to analyze the data provided in the table to determine which group's data is unreliable. The initial amount of vegetable oil and engine oil is 100 mL each. If a group reports removing more than 100 mL of either type of oil, their data is considered unreliable.

Checking Each Group's Data Let's examine the data for each group:



Group 1: Removed 10 mL of vegetable oil and 20 mL of engine oil. Both values are less than or equal to 100 mL, so the data is reliable.
Group 2: Removed 110 mL of vegetable oil and 130 mL of engine oil. Both values are greater than 100 mL, so the data is unreliable.
Group 3: Removed 60 mL of vegetable oil and 40 mL of engine oil. Both values are less than or equal to 100 mL, so the data is reliable.
Group 4: Removed 80 mL of vegetable oil and 70 mL of engine oil. Both values are less than or equal to 100 mL, so the data is reliable.


Identifying the Unreliable Data Based on the analysis, Group 2's data is unreliable because they reported removing more than the initial amount of both vegetable oil and engine oil.

Final Answer Therefore, the answer is group 2.


Examples
Imagine you're tracking the inventory of a store. If the records show that more items were sold than were initially in stock, it indicates a data error. Similarly, in the oil spill cleanup experiment, if a group claims to have removed more oil than was originally present, their data is likely incorrect. This kind of data validation is crucial in many real-world scenarios, from managing resources to conducting scientific research, ensuring accuracy and reliability in decision-making.

Answered by GinnyAnswer | 2025-07-06