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Doesn't the probability of tossing 4 coins equals 24 which is 64 outcomes?
Wiki User
∙ 10y ago
No.
The number of outcomes is 24 which is 16, not 64.
Furthermore, probability is a number that is associated with an outcome and is a number in the range [0, 1]. Neither 16 nor 64 are number in the relevant range.
Wiki User
∙ 10y ago
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When you toss a coin 5 times probability of getting exactly 4 heads?
Because there are only 2 outcomes for the flip of a coin, for 5 flips you just need to take (1/2)5, which equals 1/32. This implies there are 32 different outcomes for the case of tossing a coin 5 times. From these 32 outcomes 5 have exactly 4 heads: THHHH, HTHHH, HHTHH, HHHTH, and HHHHT. So the probability of getting exactly 4 heads when you toss a coin 5 times is: P(4H,!T) = 5/32 = 0.15625 ≈ 15.6%
What is the probability of a and b if a equals 3 and b equals 4?
a and b both have the probability of 3/4
What is the probability that an event will occur between z equals -0.46 and z equals 2.21 on the standard normalized curve?
The probability is 0.664
What is the probability of rolling a 3 with a pair of dice?
On a standard pair of six-sided dice, there are two ways to roll a "3"; i.e., a "1" and a "2" or a "2" and a "1". There are 36 possible outcomes. Therefore, the probability of rolling exactly 3 is 2/36, which equals 1/18. The probability of rolling 3 or higher is 35/36. The probability of rolling 3 or lower is 3/36, which is 1/12.
What is the probability it will occur equals 0?
Impossible
What is the formula in probability?
Probability equals favorable outcomes divided by total number of outcomes.
When you toss a coin 5 times probability of getting exactly 4 heads?
Because there are only 2 outcomes for the flip of a coin, for 5 flips you just need to take (1/2)5, which equals 1/32. This implies there are 32 different outcomes for the case of tossing a coin 5 times. From these 32 outcomes 5 have exactly 4 heads: THHHH, HTHHH, HHTHH, HHHTH, and HHHHT. So the probability of getting exactly 4 heads when you toss a coin 5 times is: P(4H,!T) = 5/32 = 0.15625 ≈ 15.6%
What is addition and multiplication theorems on probability with examples?
When considering the probability of two different events or outcomes, it is essential to clarify whether they are mutually exclusive or independent. If the events are mutually exclusive, then the probability that either one or the other will occur equals the sum of their individual probabilities. This is known as the law of addition. If, however, two or more events or outcomes are independent, then the probability that both the first and the second will occur equals the product of their individual probabilities. This is known as the law of multiplication.
What is the probability of a coin tossed five times to get three heads?
Each coin toss is a Bernoulli trial with a probability of success of .5. The probability of tossing heads exactly 3 times out of five is3 ~ Bin(5, 1/2), which equals(5!/(3!(5-3)!))(0.5^3)(1-0.5)^(5-3), which is 0.3125.
What is the probability of a and b if a equals 3 and b equals 4?
a and b both have the probability of 3/4
What is the probability of an event occurring to the probability that it will not occur?
The probability that an event will occur plus the probability that it will not occur equals 1.
What if mean equals probability?
It does not matter.
What is the probability that an event will occur between z equals -0.46 and z equals 2.21 on the standard normalized curve?
The probability is 0.664
What is the probability of rolling a 3 with a pair of dice?
On a standard pair of six-sided dice, there are two ways to roll a "3"; i.e., a "1" and a "2" or a "2" and a "1". There are 36 possible outcomes. Therefore, the probability of rolling exactly 3 is 2/36, which equals 1/18. The probability of rolling 3 or higher is 35/36. The probability of rolling 3 or lower is 3/36, which is 1/12.
What is the probability it will occur equals 0?
Impossible
For lamda equals 5.5 the probability of x equals 2 is?
The answer depends on what the distribution is!
If two cards are drawn without replacement from an ordinary well-shuffled deck of 52 playing cards what is the probability that they will be in the same suit?
The odds can simply be calculated by dividing the total number of desired outcomes by the total number of possible outcomes. After you pick the first card (no matter what suit), the odds of picking a second card of the same suit are 12/51 -- there are 12 cards remaining of the suit that was initially picked (desired outcomes) and 51 cards in the remaining deck (possible outcomes). As a percent, this equals 23.529%
