Question

1. the metric system is based on multiples of which number? 18. which system of units is accepted globally by scientists? section b: deduction & explanation questions 19. explain why scientists in different countries need to use the same measurement standards. 20. why would science be vague without measurement? give two examples. 21. suppose one scientist uses feet and another uses meters for the same experiment. what problem might arise?

Explanation:

1. The metric system is based on multiples of 10, which makes conversions between units straightforward. For example, 1 kilometer = 1000 meters.
2. The International System of Units (SI), which is a modern - form of the metric system, is globally accepted by scientists. It provides a standard for measurements in science.
3. Scientists in different countries need to use the same measurement standards to ensure reproducibility of experiments. If each used a different standard, results couldn't be compared or verified accurately. For example, in a chemical reaction study, the amount of substances must be measured the same way everywhere.
4. Without measurements, science would be vague because measurements give precise values. For example, in astronomy, without measuring the distance between stars, we couldn't understand the scale of the universe. In medicine, without measuring a patient's temperature precisely, we couldn't diagnose fevers accurately.
5. If one scientist uses feet and another uses meters for the same experiment, there will be errors in data comparison and analysis. For example, if measuring the length of an object for a physics experiment, the numerical values will be different depending on the unit used, leading to confusion in results.

Answer:

1. 10
2. The International System of Units (SI)
3. To ensure reproducibility of experiments and accurate comparison and verification of results.
4. Measurements give precise values. Examples: In astronomy, for understanding the scale of the universe; in medicine, for diagnosing fevers accurately.
5. Errors in data comparison and analysis due to different numerical values for the same quantity.