Summary:
- Excel's "uniform" distribution function generates random numbers according to a uniform distribution with a specified seed number.
- The first random number generated by the algorithm follows a predictable pattern based solely on the seed number, but subsequent random numbers are truly random and uniform.
- There is no specific range of seed numbers to stay within, but it's generally a good idea to choose a seed number that is easy to remember or document.
- Excel's random number generator is a pseudo-random number generator, which can lead to patterns or biases in the generated numbers.
- To mitigate this issue, you can use a different random number generator, such as the Mersenne Twister algorithm, or third-party add-ins for Excel.

Steps to mitigate issues with Excel's random number generator:

1. Consider using a different random number generator, such as the Mersenne Twister algorithm.
2. Use third-party add-ins for Excel that provide more advanced random number generation capabilities.
3. Use a larger sample size or a larger range of parameters to reduce the likelihood of patterns or biases in the generated numbers.