Alerts Wishlist Cart

In a measurement, if the systematic error is known, how can it be corrected? (20

Practice Questions

Q1
In a measurement, if the systematic error is known, how can it be corrected? (2020)
  1. By averaging multiple readings
  2. By subtracting the error from the measured value
  3. By ignoring the error
  4. By taking more measurements

Questions & Step-by-Step Solutions

In a measurement, if the systematic error is known, how can it be corrected? (2020)
  • Step 1: Identify the measured value from your experiment or measurement.
  • Step 2: Determine the known systematic error that affects your measurement.
  • Step 3: Subtract the known systematic error from the measured value.
  • Step 4: The result after subtraction is your corrected measurement.
No concepts available.
Biology (School & UG)
Biology (School & UG)
Chemistry (School & UG)
Chemistry (School & UG)
Civil Engineering
Civil Engineering
Commerce & Accountancy
Commerce & Accountancy
Computer Science & IT
Computer Science & IT
Current Affairs & GK
Current Affairs & GK
Data Structures & Algorithms
Data Structures & Algorithms
eBooks
eBooks
Electrical & Electronics Engineering
Electrical & Electronics Engineering
English (School)
English (School)
General Aptitude
General Aptitude
General Knowledge
General Knowledge
General Knowledge & Current Affairs
General Knowledge & Current Affairs
Languages & Literature
Languages & Literature
Law & Legal Studies
Law & Legal Studies
Major Competitive Exams
Major Competitive Exams
Mathematics (School)
Mathematics (School)
Mechanical Engineering
Mechanical Engineering
Medical Science
Medical Science
Physics (School & Undergraduate)
Physics (School & Undergraduate)
Quantitative Aptitude & Reasoning
Quantitative Aptitude & Reasoning
Social Science (School)
Social Science (School)
Technical
Technical
Verbal and Reasoning
Verbal and Reasoning
Vocational & Skill Development
Vocational & Skill Development
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely