Final answer:
Summary indexing is indeed more efficient for generating larger reports over extended periods, as it relies on precomputed data, making it true. However, the assertion that human experiments are not possible is false, as they can be conducted ethically. Furthermore, it is true that larger sample sizes are preferable in scientific experiments for more reliable results.
Step-by-step explanation:
Summary indexing is a method used in data analysis and reporting, often related to processing large datasets such as server logs or financial records. The statement that summary indexing is more efficient for larger reports over long times is generally true. By creating a summary index, you store the results of expensive computations ahead of time. When you need to generate a large report that covers a long time span, you can query the summary index rather than the raw data, which is much faster as the index contains precomputed results of the data analysis.
Considering ethics and safety, experiments can be done on humans; however, they must strictly adhere to ethical guidelines, such as obtaining informed consent and ensuring that the experiment does not cause harm. Hence, the statement that experiments cannot be done on humans is false. Regarding sample sizes, it is indeed true that larger sample sizes are generally better than smaller ones in scientific experiments. They provide more data, which can lead to more reliable and statistically significant results.