The answer depends on what you are looking for: the full sequence of results, the number of heads (or tails) the number of runs, the lengths of runs, or whatever.
yes the coin is biased because it turned to heads 36 times.
Anyone can flip a coin four times so I say 100 percent probability. On the other maybe you should ask the odds of the results from four flips.
random coin flips and exponeous events
None, since that would imply that in 18 cases the coin did not show heads or tails!
The probability of the coin coming up heads each time is 1/8; likewise for 3 tails. The probability of getting 2 heads and 1 tail (in any order) or 2 tails and 1 head, is 3/8. There are lots of other events whose probability can be calculated when a coin is tossed 3 times, but the question doesn't specify what event is to have its probability calculated.
A fair coin would be expected to land on heads 10 times on average.
Roughly half of the time, so about 350 times.
The probability of a heads is 1/2. The expected value of independent events is the number of runs times the probability of the desired result. So: 100*(1/2) = 50 heads
A fair coin would be expected to land on heads 75 times.
30 maybe but i say 35 or 31
75
1/2 or 0.5
the 25 cent coin is 94% steel, 3.8% copper and 2.2% nickel plating. How do you classify nickel?
Coin tosses are independent events. The probability of a head remains 1/2
28 times out of 50 as a percent is achieved thus (28/50)*100 = 56% (The coin would appear to be biased by the way).
It depends on the condition of the coin. There is a rating system that is used to classify the worth of old coins and it is based on the amount of wear and damage to the coin. Take it to a coin shop to get an idea.
It means that two events cover the spectrum of possible events. For instance, with respect to flipping a coin, the event of getting heads and the event of getting tails are mutually exhaustive. There is not another outcome of events possible when flipping a coin.