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Voluminous data generation generates large volume of test data using a small sample of existing data and seed data generation builds test data completely from scratch, accessing meta data only

a. true
b. false

User Jacquen
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1 Answer

2 votes

Final answer:

The initial question's statements about data generation techniques are not presented as a true/false question, so their veracity cannot be determined.

However, experiments can be conducted on humans under ethical guidelines, which makes statement 7 false, and larger sample sizes generally lead to more accurate scientific experiments, making statement 8 true.

Step-by-step explanation:

The question addresses two topics within the realm of data generation and experimentation methodology, particularly related to software testing and scientific research.

The statements in the question are about voluminous data generation which typically involves creating a large set of test data based on a sample of actual data, while seed data generation involves creating test data from scratch using only meta-data. However, these statements do not form a true/false question as presented in the instructions. For the true/false statements given as references:

  • Experiments can indeed be conducted on humans, but they must adhere to strict ethical guidelines, including informed consent and minimization of harm.
  • Generally, larger sample sizes are preferred in scientific experiments as they provide more accurate results and greater statistical power, reducing the likelihood of random errors affecting the outcomes.

In conclusion, without further context, it's not possible to determine the veracity of the initial statement since it is not clearly framed as a true or false query. However, regarding the referenced statements, the first is false and the second is true.

User Niedakh
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