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When two balanced dice are rolledthere are 36 possible outcomes. Find the probability that the sum is a multiple of 3 or greater than 4?
The probability is 0.88... recurring.
What is the probability of getting a number greater than or equal to 2 when rolling a number cube numbered 1 to 6?
Probability is a ratio written as the number of desired outcomes divided by the number of possible outcomes. On a six-sided number cube, there are 5 chances of getting a number greater than or equal to 2 (2,3,4,5,6) and 6 possible outcomes (1,2,3,4,5,6) so your probability would be 5/6.
What is the probability that the sum will be less than 9 greater than 11?
To find the probability that the sum of two dice rolls is less than 9 or greater than 11, we first consider the possible outcomes. The total outcomes when rolling two dice are 36. The combinations that yield sums less than 9 are: 2, 3, 4, 5, 6, 7, and 8. For sums greater than 11, the only possible sums are 12. After calculating the favorable outcomes for both conditions, we can determine the probability by dividing the total favorable outcomes by 36.
What is a requirement for use of the hypergeometric distribution Only 2 possible outcomes Trials are independent Probability of a success is greater than 1.0 Sampling with replacemen?
FALSE. The probability of success (or anything else) cannot be greater than 1.0
Why can not 120 percent be the probabilty of some event?
COnsider some event A and the number of outcomes that are favourable to A. Then the probability of A is the number of such outcomes as a proportion of all possible outcomes (related to the trial or experiment). Defined as a proportion in this way, it can never be greater than 1. Converted to a percentage, that means it can never be greater than 100 percent.
When two balanced dice are rolledthere are 36 possible outcomes. Find the probability that the sum is a multiple of 3 or greater than 4?
The probability is 0.88... recurring.
What is the probability of getting a number greater than or equal to 2 when rolling a number cube numbered 1 to 6?
Probability is a ratio written as the number of desired outcomes divided by the number of possible outcomes. On a six-sided number cube, there are 5 chances of getting a number greater than or equal to 2 (2,3,4,5,6) and 6 possible outcomes (1,2,3,4,5,6) so your probability would be 5/6.
What is the probability that the sum will be less than 9 greater than 11?
To find the probability that the sum of two dice rolls is less than 9 or greater than 11, we first consider the possible outcomes. The total outcomes when rolling two dice are 36. The combinations that yield sums less than 9 are: 2, 3, 4, 5, 6, 7, and 8. For sums greater than 11, the only possible sums are 12. After calculating the favorable outcomes for both conditions, we can determine the probability by dividing the total favorable outcomes by 36.
What is a requirement for use of the hypergeometric distribution Only 2 possible outcomes Trials are independent Probability of a success is greater than 1.0 Sampling with replacemen?
FALSE. The probability of success (or anything else) cannot be greater than 1.0
Are the probability values always greater than or equal to 0 or less than or equal to 1 or all positive numbers?
Probability values are never negative and are always between 0-1 according to the definition Probability of A= Number of outcomes classified as A/Total number of possible outcomes
Is it possible to have a probability greater than 100?
It is not possible to have a probability greater than 1. All probabilities are between 0 and 1, inclusive.
Why can not 120 percent be the probabilty of some event?
COnsider some event A and the number of outcomes that are favourable to A. Then the probability of A is the number of such outcomes as a proportion of all possible outcomes (related to the trial or experiment). Defined as a proportion in this way, it can never be greater than 1. Converted to a percentage, that means it can never be greater than 100 percent.
Is it possible to have a probability greater than 100 Explain?
yes
Why is the probability of an event always a number between 0 and 1?
The probability of an event is defined as the ratio of favourable outcomes to total outcomes. In the case of discrete distributions these will be represented by numbers, while for continuous distribution they will be measured as areas. In either case, the first measure is non-negative and the second is positive and so the probability is greater than 0. Also, the number of favourable outcomes cannot be greater than the total so the probability must be at most 1.
When two dice are rolled find the probability that the sum is a multiple of 3 or greater than 4?
The probability is 35/36.
19. A single die is rolled one time. Find the probability of rolling a number greater than 5 or less than 4.?
When rolling a single die, the possible outcomes are 1, 2, 3, 4, 5, and 6. The numbers greater than 5 are 6, and the numbers less than 4 are 1, 2, and 3. This gives us a total of 4 favorable outcomes (1, 2, 3, and 6) out of 6 possible outcomes. Thus, the probability of rolling a number greater than 5 or less than 4 is ( \frac{4}{6} = \frac{2}{3} ).
A complete probability distribution is always an objective listing of all possible events Since it is impossible to list all the possible outcomes from a single event probability distributions are o?
Your question is not clear, but I will attempt to interpret it as best I can. When you first learn about probability, you are taught to list out the possible outcomes. If all outcomes are equally probable, then the probability is easy to calculate. Probability distributions are functions which provide probabilities of events or outcomes. A probability distribution may be discrete or continuous. The range of both must cover all possible outcomes. In the discrete distribution, the sum of probabilities must add to 1 and in the continuous distribtion, the area under the curve must sum to 1. In both the discrete and continuous distributions, a range (or domain) can be described without a listing of all possible outcomes. For example, the domain of the normal distribution (a continuous distribution is minus infinity to positive infinity. The domain for the Poisson distribution (a discrete distribution) is 0 to infinity. You will learn in math that certain series can have infinite number of terms, yet have finite results. Thus, a probability distribution can have an infinite number of events and sum to 1. For a continuous distribution, the probability of an event are stated as a range, for example, the probability of a phone call is between 4 to 10 minutes is 10% or probability of a phone call greater than 10 minutes is 60%, rather than as a single event.
