A quantile.
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.
You choose the values of the independent variable. The dependent variable is the one you measure.
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.
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!
A discrete variable is one that cannot take on all values within the limits of the variable.
quartile
Quartile
quartile- one of the values of a variable that divides the distribution of the variable into four groups having equal frequencies.
quartile
A tertile or tercile.
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.
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.
yes
You choose the values of the independent variable. The dependent variable is the one you measure.
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.
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.
It will be the same as the distribution of the random variable itself.