Understanding the Concept of 'All' in Science
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Questions and Answers

वैज्ञानिकों के लिए 'All' का उपयोग क्या समझाता है?

  • किसी एक विशेष परिस्थिति को
  • किसी व्यक्ति के परिणामों को
  • सम्पूर्णता, व्यापकता और सारी जानकारी को (correct)
  • केवल कुछ ही परिणामों को
  • वैज्ञानिकों के लिए 'All' का उपयोग क्या सूचित करता है?

  • अनिश्चितता
  • सत्यता
  • समर्पण (correct)
  • प्रतिबंधिता
  • 'All' का उपयोग वैज्ञानिक प्रयोग में किस हेतु किया जाता है?

  • प्रमाणीकरण के लिए (correct)
  • संकल्प की पुष्टि करने के लिए
  • हिसाब-किताब के लिए
  • निषेधात्मक प्रमाण के लिए
  • 'All' शब्द का उपयोग कहाँ होता है, वैज्ञानिक प्रयोग में, किसी प्रक्रिया में?

    <p>संपूर्णता</p> Signup and view all the answers

    'All' का मतलब होता है?

    <p>समस्त, सम्पूर्ण, सर्व, सकल</p> Signup and view all the answers

    'All' क्या सुनिश्चित करता है?

    <p>'All' में सम्पूर्णता</p> Signup and view all the answers

    Study Notes

    When we say 'All', it can have numerous meanings depending on the context. In scientific terms, it is often used to signify all possible outcomes or results of an experiment or observation. For example, when conducting an experiment, scientists might want to know if their hypothesis holds true under any conditions or circumstances. They would therefore test the hypothesis using different methods, variations, or even extreme cases to verify its validity across multiple scenarios. This concept extends beyond experiments into other areas of science like models, computer simulations, data analysis, etc., where 'all' often means covering every detail, scenario, variation, input, parameter, etc.. It also applies to theories, laws, principles, rules, and mathematical concepts in general, such that they work universally without exceptions. So in essence, when scientists use 'All' within their field, it implies thoroughness, completeness, exhaustiveness, inclusivity, comprehensiveness, generality, universality, etc.

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    Description

    Explore how the term 'All' is utilized in scientific contexts to denote comprehensive coverage, exhaustiveness, and universality across various experiments, models, simulations, data analysis, theories, laws, and mathematical concepts. Learn how scientists test hypotheses under multiple scenarios to ensure validity and how this concept extends to different aspects of science.

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