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you ether use a graph tree diagram or web diagram to answer the possible outcomes of the question possible outcomes meaning the number of outcomes the person will have in the probability or divide the number of favourable outcomes by the number of possible outcomes favorible outcomes meaning the number of outcomes all together

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you can just ask the question on ask .com

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It depends on whether fx denotes frequency times variable value or the probability generating function for the variable x.

None. The full name is the Probability Distribution Function (pdf).

They are the same. The full name is the Probability Distribution Function (pdf).

The question seems to be misguided since all probability mass functions are function!

Energy generating.

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.

The probability distribution function.

Yes.

No. f is a letter of the Roman alphabet. It cannot be a probability density function.

It is a function which is usually used with continuous distributions, to give the probability associated with different values of the variable.

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.

Your question did not identify one distribution in particular. I have provide in the related link the moment generating functions of various probability distributions.

Mitochondria have a general function in many cells.That is generating energy.

The marginal probability distribution function.

[(1 - p)/(1 - pet)]r for t < -ln(p) where p = probability of success in each trial, r = number of failures before success.

You integrate the probability distribution function to get the cumulative distribution function (cdf). Then find the value of the random variable for which cdf = 0.5.

There are many, many formulae:for different probability distribution functions,for cumulative distribution functions,for moment generating functions,for means, variances, skewness, kurtosis and higher moments.There are many, many formulae:for different probability distribution functions,for cumulative distribution functions,for moment generating functions,for means, variances, skewness, kurtosis and higher moments.There are many, many formulae:for different probability distribution functions,for cumulative distribution functions,for moment generating functions,for means, variances, skewness, kurtosis and higher moments.There are many, many formulae:for different probability distribution functions,for cumulative distribution functions,for moment generating functions,for means, variances, skewness, kurtosis and higher moments.

The probability distribution of an experiment is a function that maps the probability of each possible outcome of the experiment to that outcome.

The answer depends on the probability distribution function for the random variable.

It is the probability distribution function that is relevant for the experiment.

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)

decrease

Allowing more sodium ions into a nerve generates a nerve impulse. so decreasing membrane permeability of sodium would decrease the probability of generating a nerve impulse.