Comparing these different sample sizes illustrates that larger samples tend to produce observed proportions that are more stable and closer to the theoretical probability. With fewer trials (like 10), random noise can cause significant deviations from the expected proportion.
Conditions: The comparison involves sample sizes of 10, 100, and 1,000 trials.; The goal is to understand the stabilization of observed proportions.
Comparing these different sample sizes illustrates that larger samples tend to produce observed proportions that are more stable and closer to the theoretical probability. With fewer trials (like 10), random noise can cause significant deviations from the expected proportion.
Conditions: The comparison involves sample sizes of 10, 100, and 1,000 trials.; The goal is to understand the stabilization of observed proportions.