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A probability must needs be a number between 0 and 1 (often expressed as 0% and 100%), inclusive.
Wiki User
∙ 6y ago
Wiki User
∙ 6y agoThe largest value is 1.
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What what is the smallest probability that can exist?
The smallest value is 0.
The mode is the largest value in a symmetric distribution?
Yes- the highest probability value is the mode. Let me clarify this answer: For a probability mass function for a discrete variables, the mode is the value with the highest probability as shown on the y axis. For a probability density function for continuous variables, the mode is the value with the highest probability density as shown on the y-axis.
Is an event with a probability of 1 more or less likely than an event with a probability of 2?
It is more likely because it can exist. An event with a probability of 2 cannot exist.
What is the value of 4800 if the probability is 20?
The value of 4800 is 4800 and probability has nothing to do with it.
What is the probability of selecting a value at random and discovering that it has a value of 395 pounds?
The probability is 0.
What what is the smallest probability that can exist?
The smallest value is 0.
What is the largest probability that can exist?
A probability must needs be a number between 0 and 1 (often expressed as 0% and 100%), inclusive.
The mode is the largest value in a symmetric distribution?
Yes- the highest probability value is the mode. Let me clarify this answer: For a probability mass function for a discrete variables, the mode is the value with the highest probability as shown on the y axis. For a probability density function for continuous variables, the mode is the value with the highest probability density as shown on the y-axis.
If you exist What is the probability you once didn't exist?
A good chance.
Is an event with a probability of 1 more or less likely than an event with a probability of 2?
It is more likely because it can exist. An event with a probability of 2 cannot exist.
Is the uniform probability distribution is symmetric about the mode?
Yes, the uniform probability distribution is symmetric about the mode. Draw the sketch of the uniform probability distribution. If we say that the distribution is uniform, then we obtain the same constant for the continuous variable. * * * * * The uniform probability distribution is one in which the probability is the same throughout its domain, as stated above. By definition, then, there can be no value (or sub-domain) for which the probability is greater than elsewhere. In other words, a uniform probability distribution has no mode. The mode does not exist. The distribution cannot, therefore, be symmetric about something that does not exist.
What is the value of 4800 if the probability is 20?
The value of 4800 is 4800 and probability has nothing to do with it.
What is the probability of selecting a value at random and discovering that it has a value of 395 pounds?
The probability is 0.
What is the meaning of random variable in probability distribution?
It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.
What is The smallest value for a probability?
Zero is the smallest probability.
What is the meaning of expected value in a probability distribution?
The expected value is the average of a probability distribution. It is the value that can be expected to occur on the average, in the long run.
Does the probability that a continuous random variable take a specific value depend on the probability density function?
No. The probability that a continuous random variable takes a specific value is always zero.
