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What else can I help you with?
What is the study of mathematical probability distribution deviation?
It is "probability".
Is the uniform probability distribution's standard deviation proportional to the distribution's range?
no
What is Normal of probability distribution?
with mean and standard deviation . Once standardized, , the test statistic follows Standard Normal Probability Distribution.
What is Normal of Standard Normal Probability Distribution?
with mean of and standard deviation of 1.
Why is the standard normal probability distribution unique?
a mean of 1 and any standard deviation
What is the probability that x is within one standard deviation of its mean?
In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean. This means that if x is a random variable that follows a normal distribution, there is about a 68% probability that x will be within one standard deviation of its mean. For distributions that are not normal, the probability may vary and would need to be determined based on the specific characteristics of that distribution.
How do you calculate probability given mean and standard deviation?
The mean and standard deviation do not, by themselves, provide enough information to calculate probability. You also need to know the distribution of the variable in question.
What information do you need to calculate a probability with a normal distribution?
Only the mean, because a normal distribution has a standard deviation equal to the square root of the mean.
Is probability density function and gaussian distribution function are same?
yes, h=1/sigma(standard deviation)
Suppose z has a standard normal distribution with a mean of 0 and a standard deviation of 1. the probability that z is less than 1.15 is?
probability is 43.3%
What requirements are necessary for a normal probability distribution to be a standard normal probability?
For a normal probability distribution to be considered a standard normal probability distribution, it must have a mean of 0 and a standard deviation of 1. This standardization allows for the use of z-scores, which represent the number of standard deviations a data point is from the mean. Any normal distribution can be transformed into a standard normal distribution through the process of standardization.
Poisson distribution the mean and standard deviation?
The Poisson distribution is a discrete distribution, with random variable k, related to the number events. The discrete probability function (probability mass function) is given as: f(k; L) where L (lambda) is the mean and square root of lambda is the standard deviation, as given in the link below: http://en.wikipedia.org/wiki/Poisson_distribution
