The number of times a test should be repeated for it to be considered valid depends on the test's nature and the required level of precision. Generally, repeating a test at least three times can help identify outliers and provide a more reliable average result. However, specific fields may have established guidelines that dictate the minimum number of repetitions for validity. Ultimately, the goal is to ensure consistency and reliability in the results obtained.
8 - Apex
If you toss a fair coin 250 times , about how many times should it land on tails?
1 out of 6 * * * * * Total rubbish. There are 11 possible sums - the numbers 2 to 12. So if you throw the dice 12 times, the first 11 can be different but the 12th must be a repeat.
Getting heads is just as likely as getting tails. So the expected number of each is even. There are no other possibilities so you should expect 5 of each. Naturally, if you actually flip a coin 10 times, it may come out 6/4, 4/6, 7/3 or even 10/0, but 5/5 is the most likely outcome.
Since there are 11 different outcomes it is possible that the first eleven throws are all different. But the 12th time you throw must repeat one of the previous results.
it actuly depends on many things, the 2 main things are... 1. the scientist and 2. the experement they are validating
It depends on how long you want it. thanks :)
8 - Apex
8 - Khalil.R
7 - Apex
Two times
every time
how many times does a pattern have to repeat
The number of times a pattern needs to repeat depends on the context. In mathematics or statistics, a pattern might need to repeat a specific number of times to establish a significant trend or outcome. In art or design, repetition can enhance visual interest, but there's no strict rule on how many times it should occur. Ultimately, the effectiveness of a repeated pattern is subjective and varies based on its purpose and audience.
As many times as you need to...
40 times
The answers are usually always valid. What may or may not be valid are your assumptions about the underlying model. Also, the number of times the results should be similar depends on the number of possible outcomes and the variability in the outcomes. For example, if you spin a fair spinner with 12 equal segments, then the probability of similar results is less than likely.