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Because the probability of heads is 0.5 and the probability of tails is 0.5. That does not mean, however, that you will get exactly 500 of each outcome in 1000 trials. The more trials you perform, the closer to the theoretical probability you will get. You will be close with 1000 trials, but you will not be exact, unless you are very lucky.

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Q: Why if you flip a coin 1000 times you should get about 500 heads and 500 tails?
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What fraction when 2 pennies are tossed 1000 times?

Out of the 1,000 tosses, you should expect to see 2 heads 250 times (1/4 of them), 2 tails 250 times (1/4 of them), and one of each 500 times (1/2 of them). Out of the 2,000 coin faces that show, you should expect to see very close to 1,000 heads (1/2 of them) and 1,000 tails (1/2 of them).


If you toss a penny 1000 times how many times will it land on heads?

Theoretically, if you have a fair coin, the chances of landing on heads after 1000 tosses is 500, since there are only two outcomes, heads or tails, and each outcome is equally likely. Experimentally, however, the number of times the penny would turn up heads is any number from 1 to 1000, including 1 and 1000 (although these are very unlikely outcomes). The most likely outcome is a number very close to 500.


Why is a probability less than or equal to 1?

Let's take the simple case of tossing a coin. You may end up with the Head facing up or the Tail facing up. If the coin is perfectly balanced then in the long run (say a 1000 tosses) you will get about 500 heads and 500 tails. You will never get 1000 heads or 1000 tails. In this simple experiment the probability of heads is defined as 500/1000 and the proability of tails is defined as 500/1000 where the numerator represnets in each case a "tagged" event and the denominator denotes the "toal" events. Thus in the case above the occurrence of Head or Tail can never be 1000, it will always be less the 1000 (the total attempts in the experiment). Hence 500/1000 (ratio of "tagged" event to the total eveents) which is defined as the probability can never be 1. In the extreme case where the coin is weighted (a counterfeit)such that you always get heads facing up then out of 1000 tries you will get 1000 heads and zero tails. In this case the probability of heads is 1 and the probability of tails is zero. I hope this explanation helps. Thus true probablity of an event lies between 0 and 1, both inclusive.


What is an example of relative frequency probability?

Flip a coin 1000 times, counting the number of 'heads' that occur. The relative frequency probability of 'heads' for that coin (aka the empirical probability) would be the count of heads divided by 1000. Please see the link.


When you toss a coin what is the probability it will land on heads?

the probability is actually not quite even. It would actually land heads 495 out of 1000 times because the heads side is slightly heavier


How many time should I add 50 to get 50000?

1000 Times


If a coin was tossed 1000 times what would be the probability that coin will land on heads?

1/2 or 0.5


When a coin is tossed 1000 times how often are you likely to get a sequence of 7 straight heads?

the probablity of getting a head is 1/2 and 7 heads consecutively is (1/2)^7


If you tossed a coin 1000 times what is the probability the 785th toss is heads?

The number of times a coin is tossed does not alter the probability of getting heads, which is 50% in every case, as long as the coin has not been rigged (i.e., a double-headed coin, a weighted coin) to alter the result.


What times 4 equals 1000?

250


What number is 1000 times greater than 1.5?

This simply means that you should multiply 1000 x 1.5.


How do you convert millimetres to kilometers?

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