Randomness Test

A randomness test evaluates whether a sequence of data, like numbers or signals, exhibits unpredictability and lacks patterns. It helps determine if the data appears truly random or if hidden structures exist. This is essential in areas such as cryptography, simulations, and random number generators to ensure the data's integrity and security. The test analyzes various statistical properties—such as distribution, independence, and lack of pattern—comparing the data against expected random behavior. If the data passes these tests, it suggests that it behaves as expected for random data, while failures indicate possible underlying patterns or biases.