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One of the values of a variable which divides the distribution of the variable?
Wiki User
∙ 16y ago
A quantile.
Wiki User
∙ 16y ago
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What is the difference between random variable and random process?
A random variable is a variable which can take different values and the values that it takes depends on some probability distribution rather than a deterministic rule. A random process is a process which can be in a number of different states and the transition from one state to another is random.
What distribution that has a great number of values on one side?
The answer depends on one side of WHAT! There is no distribution which has a greater number of values on either side of its median.
How do you decide the independent variable?
You choose the values of the independent variable. The dependent variable is the one you measure.
What is meant by bimodal distribution?
You are likely familiar with the probability density function of the normal distribution--that is, the bell-shaped curve.A bimodal distribution is one whose probability density function has two 'humps' or maxima. In other words, values of the random variable are more likely to occur around where those two maxima occur than elsewhere, in the same way that values of a normally distributed random variable are more likely to occur around its maximum.
What is the value of a variable?
A variable can have lots of different values - as opposed to a constant which has only one. That is why it is called a variable!
One of the values of a variable which divides the distribution of the variable into four groups having equal frequencies?
Quartile
What is one of the values of a variable which divides the distribution of the variable into four groups having equal frequencies?
quartile
What a quartile?
quartile- one of the values of a variable that divides the distribution of the variable into four groups having equal frequencies.
What is one of the values of a variable which divides the distribution of the variables into four groups having equal frequencies?
quartile
What is one of the values of a variable which divides the distribution of the variables into three groups having equal frequencies?
A tertile or tercile.
One of the values of a variable which divides the distribution of the variable into four groups having equal frequency?
A quartile divides a distribution into four equal parts, each containing 25% of the data. The first quartile (Q1) represents the value below which 25% of the data fall, the second quartile (Q2) is the median, and the third quartile (Q3) is the value below which 75% of the data fall.
What is the difference between random variable and random process?
A random variable is a variable which can take different values and the values that it takes depends on some probability distribution rather than a deterministic rule. A random process is a process which can be in a number of different states and the transition from one state to another is random.
Is A percentile divides a distribution into one hundred equal parts.?
yes
What is the difference between discrete and cumulative distributions?
A discrete distribution is one in which the random variable can take only a limited number of values. A cumulative distribution, which can be discrete of continuous, is the sum (if discrete) or integral (if continuous) of the probabilities of all events for which the random variable is less than or equal to the given value.
What distribution that has a great number of values on one side?
The answer depends on one side of WHAT! There is no distribution which has a greater number of values on either side of its median.
How do you decide the independent variable?
You choose the values of the independent variable. The dependent variable is the one you measure.
What is meant by bimodal distribution?
You are likely familiar with the probability density function of the normal distribution--that is, the bell-shaped curve.A bimodal distribution is one whose probability density function has two 'humps' or maxima. In other words, values of the random variable are more likely to occur around where those two maxima occur than elsewhere, in the same way that values of a normally distributed random variable are more likely to occur around its maximum.
