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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.
How does the experimental result differ from the theoretical in terms of accuracy?
Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.
Why will a density curve always give a probability of zero?
It will not. For the interval (x, x+dx) it may well give a non-zero probability. With a continuous distribution, the probability of any particular value is always 0. What the probability density function gives is the probability that the variable is NEAR the selected value.
What is the probability that a paternity test will be correct?
As part of a paternity test it includes a probability value to determine the probability that the man in question is biological father or not. If the probability value is 99.99% and the mother, child and man in question have all been tested then the man is the father. If it is less than that then the man is not the father. It is impossible to get a probability value of 100% unless every man in the world were tested. As it stands a paternity test is as accurate as its probability value. Therefore a paternity test with a probability value of 99.99% has a 99.99% chance of being correct. A paternity test is very accurate and does a great job of showing a childs genetic parents. The test is 99.9% accurate.
Can a joint probability have a value greater than 1?
A joint probability can have a value greater than one. It can only have a value larger than 1 over a region that measures less than 1.
What what is the smallest probability that can exist?
The smallest value is 0.
What is the smallest value of probability?
0, which is something that cannot happen.
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 value of the smallest division on the scale?
what is the value of the smallest division on a ammeter
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.
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.
What is the value of the smallest division on an ammeter scale?
what is the value of the smallest division on a ammeter
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.
What is a Bernoulli distribution?
A Bernoulli distribution is a discrete probability distribution which takes value 1 with success probability p and value 0 with failure probability q = 1 - p.
What is the max value of probability?
1.
