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The probability density function has what value in the interval between 20 and 28?
Wiki User
∙ 14y ago
I think you left off some important information. Perhaps you can supply this information, to obtain assistance.
To calculate the probability or the chance of occurrence between two values, we calculate:
Pr{a < X < b} = F(b) - F(a)
where F(x) = cumulative probability distribution. The distribution requires certain known parameters. In the case of the Normal distribution, the mean and standard deviation are parameters.
In your particular case, a = 20 and b = 28.
Wiki User
∙ 14y ago
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Why will a density curve always give a probability of zero?
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The probability density function for a uniform distribution ranging between 2 and 6 is?
4
How do you convert a beta probability density function to a beta frequency distribution?
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The probability mass function is used to characterize the distribution of discrete random variables, while the probability density function is used to characterize the distribution of absolutely continuous random variables. You might want to read more about this at www.statlect.com/prbdst1.htm (see the link below or on the right)
What pdf stands for in statistics?
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A probability density function assigns a probability value for each point in the domain of the random variable. The probability distribution assigns the same probability to subsets of that domain.
What is the difference between a probability density curve and cummulative distribution function?
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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.
Could f be a probability density function?
No. f is a letter of the Roman alphabet. It cannot be a probability density function.
The probability density function for a uniform distribution ranging between 2 and 6 is?
4
How do you convert a beta probability density function to a beta frequency distribution?
probability density distribution
What is the difference between a probability mass function and a probability density function?
The probability mass function is used to characterize the distribution of discrete random variables, while the probability density function is used to characterize the distribution of absolutely continuous random variables. You might want to read more about this at www.statlect.com/prbdst1.htm (see the link below or on the right)
What does the probability density function tell you?
The area under the pdf between two values is the probability that the random variable lies between those two values.
What pdf stands for in statistics?
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How do you find the probability density function?
The probability density function of a random variable can be either chosen from a group of widely used probability density functions (e.g.: normal, uniform, exponential), based on theoretical arguments, or estimated from the data (if you are observing data generated by a specific density function). More material on density functions can be found by following the links below.
Distinguish between binomial distribution and normal distribution?
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
What best describes the distribution of the data?
A probability density function.
