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For any particular trial, the total probability is 1.

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The total area of any probability distribution is 1

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# of successes

= probability or change

total

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when a probability experiment is repeated a large number of times, the relative frequency probability of an outcome will approach its theoretical probability.

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Probability(Total = 7) = 15/216 = 0.069

Probability(Total = 13) = 21/216 = 0.097

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Probability equals favorable outcomes divided by total number of outcomes.

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The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.

The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.

The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.

The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.

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The probability of a result you want is

(the total number of results that would satisfy you) divided by (the total number of all possible results).

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If they are normal dice, the probability is 0.

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The probability is

(the total number of numbers on the spinner minus 5)/(the total number of numbers on the spinner)

Another way to express the same probability is

1 - 5/(the total number of numbers on the spinner)

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The total number of alphabets is 26.

So the probability of letter C = No of time c is present in the alphabets / Total number of alphabets

So probability of letter c is 1/26

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Theoretical probability is the probability of an event when all outcomes are equally likely. With theoretical probability, you determine the probability by dividing the number of ways the event can occur by the total number of equally likely outcomes.

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The formula for probability is as follows:

Probability = Total number of favorable cases / total number of cases

It always lies between 0 and 1 and has no unit.

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two dice are thrown once. write all the possible outcomes. find the probability of getting:

(i) a total of 12

(ii) a total of 3

(iii) a total of 8

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The total probability of something happening plus the probability of that same thing not happening is 1, or 100 %

→ probability of not happening = 1 - 0.25 = 0.75 or 100 % - 25 % = 75 %

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Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.

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Another name for experimental probability is empirical probability. This is the ratio of the number of outcomes in which a specified event occurs to the total number of trials.

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Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability.

For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

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1 / total number of people

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You have 4 possibilities (a 3, 4, 5, or 6), out of a total of 6. All numbers on a die are assumed to have the same probability. Therefore, your probability is 4/6, or 2/3.

You have 4 possibilities (a 3, 4, 5, or 6), out of a total of 6. All numbers on a die are assumed to have the same probability. Therefore, your probability is 4/6, or 2/3.

You have 4 possibilities (a 3, 4, 5, or 6), out of a total of 6. All numbers on a die are assumed to have the same probability. Therefore, your probability is 4/6, or 2/3.

You have 4 possibilities (a 3, 4, 5, or 6), out of a total of 6. All numbers on a die are assumed to have the same probability. Therefore, your probability is 4/6, or 2/3.

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-- Total number of cards = 52.

-- Number of diamonds = 13 .

-- Probability of success = (# of successes)/(# of total possibilities) = 13/52 = 25% .

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The product law in biology states that the probability of two independent events both occurring is equal to the product of their individual probabilities. Mathematically, it is expressed as: P(A and B) = P(A) * P(B). This law is fundamental in genetics and probability calculations in biology.

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The probability of an event is the ratio of the number of equally likely oucomes of a trial which are favourable to that event, and the total number of outcomes.

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The probability of 3 specific dice rolls is the probability that each one will happen multiplied together. For instance, the probability of rolling 2 then 6 then 4 is the probability of all of these multiplied together: The probability of rolling 2 is 1/6. The probability of rolling 6 is 1/6. The probability of rolling 4 is 1/6. Multiply these together and we get the total probability as 1/216

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The probability that is based on repeated trials of an experiment is called empirical or experimental probability. It is calculated by dividing the number of favorable outcomes by the total number of trials conducted. As more trials are performed, the empirical probability tends to converge to the theoretical probability.

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A zero-one law is the law that, in some mathematical circumstances, the probability of an event can only be zero or one and not any intermediate value.

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Using probability If 400 people walk through the door in a month what is your total expected profit?

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total outcomes = 36

chances of sum to be 6 are (1,5) or (2,4) or (3,3)

so probability = 3/36 = 1/12

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Probability equals the number of ways an event can occur divided by the total number of events. The total number of events is (b=boy, g=girl) is bb, bg, gb, gg. The probability is then 1/4.

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There are a total of 36 outcomes. from 1,1; 1,2; .... to 6,5:6,6.

For these to total '7'

We have

1,6 ; 2,5 '; 3,4 ; 4,3 ; 5,2 ; & 6,1.

There are six outcomes.

So probability of a total of 7 ;

P(total 7) = 6/36 = 1/6

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Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability.

For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

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Law and Order Criminal Intent - 2001 Probability 2-14 is rated/received certificates of:

Australia:M

New Zealand:M (DVD rating)

USA:TV-14

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The probability of getting a 2 on a six sided die is 1/6. The probability of rolling a 5 is 1/6 The probability that any of the six numbers will come up is 1/6. Probability is found by "the number of ways of getting the favorable event/the total number of possibilities". Since there is only one number 2 on a a die, then there is only one way to get the favorable event. The total number of sides on a die is 6, so there are six different possibilities total that can come up. So, probability of rolling a 2 is 1/6.

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The total number of slips of paper with vowels written on them

-------------------------------------------------------------------------------

The total number of slips of paper

This is assuming that the probability of pulling out each individual slip is the same for all slips.

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The probability of rolling a total of 3 or less on two dice is 3 in 36 or 1 in 12.

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Probability is the measure of how likely an event is. ... The probability of event A is the number of ways event A can occur divided by the total number of possible.

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Theoretical probability is the probability of something occurring when the math is done out on paper or 'in theory' such as the chance of rolling a six sided dice and getting a 2 is 1/6. Experimental probability is what actually occurs during an experiment trying to determine the probability of something. If a six sided dice is rolled ten times and the results are as follows 5,2,6,2,5,3,1,4,6,1 then the probability of rolling a 2 is 1/3. The law of large numbers states the more a probability experiment is preformed the closer to the theoretical probability the results will be.

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Probability is given as Desired Outcomes divided by total number of outcomes.

For the probability of picking a vowel, desired outcomes are : a,e,i,o,u (5)

Total no. of outcomes is the entire alphabet set from a to z (26)

Hence, the required probabilty is 5/26

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Probability is the chance (in percentage or decimal) of a particular event to happen.

lets say that you tossed a coin. the possible events to happen are ending up with heads or tails. the probability of having a head is 50% or .5 while the probability of having a tails is 50% or .5.

to solve for the probability, divide the particular event with the total number of possible events.

ex. what is the probability of getting a 3 when you rolled a dice?

particular event= having a 3= 1 event

total number of events= having either a 1, 2, 3, 4, 5, or 6= 6 events

particular event/ total number of events= 1/6

hoped i helped!

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