Flip a virtual coin to get heads or tails. Use independent results for a quick choice, classroom examples, or casual games.
How to use
Select Generate result to toss the coin. Select it again for another result. No input text or coin settings are needed.
Example
Use heads for the first activity and tails for the second. Decide the mapping before tossing so the choice stays consistent.
FAQ
Do several heads make tails more likely?
No. Each toss is independent. Short runs do not need to contain equal numbers of both outcomes.
Related tools
A practical task
For a classroom experiment, record the result of each toss before discussing the total. Ten tosses need not produce five heads. Compare the observed count with the model of two equally likely outcomes, without changing the rules after seeing a streak.
Another useful question
Is a virtual toss a certified drawing?
No. The random source does not verify participants, freeze rules, or provide a contest audit. Use an appropriate recorded process for consequential selections.
Details for interpreting the result
| Detail | Explanation |
|---|---|
| Independent samples | Independent draws do not remember previous outcomes. A repeat does not indicate a failure, and a run of one outcome does not force the opposite outcome next. Evaluate the sampling rule rather than the appearance of a short list. |
| Equal chances | Uniform sampling gives each eligible entry the same chance in a single draw. Equal chance does not mean equal counts in a short run. The definition of an entry matters when a list contains duplicates. |
| Single draw probability | With n equally likely eligible outcomes, the probability of one named outcome is 1 divided by n. A result observed once does not tell you the probabilities; those come from the defined sampling process. |
| Short and long series | Random variation is especially visible in short series. A sample can look unbalanced without contradicting the model. Choose the experiment length before reviewing outcomes so the stopping rule does not depend on an attractive result. |
| Recorded experiments | For an exercise, write down the rule, eligible outcomes, and observations separately. That lets another person distinguish what the generator was allowed to produce from what happened in a particular run. |
| Mapping a result to a choice | Assign meanings to possible outcomes before generating. Changing the mapping afterward introduces personal selection into the decision. Keep the same interpretation for a recorded trial unless the rules explicitly call for a new experiment. |
| Repeats and replacement | Sampling with replacement allows an entry to be chosen again. Selecting without replacement removes it from the remaining choices. These are different rules, so decide which a task needs before interpreting a result. |