Tally
Tally
Tally
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The answer depends on the nature of the data and the domain. If the domain is continuous or very large relative to the number of observations, then it is very advantageous.
Lots of things. You should not drive a car, for example.
The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x.
General rules of constructing Frequency table General rules of constructing Frequency table
The cumulative frequency of a random variable X for the value x is the number of observations such that X ? x.
If the observations are grouped together into classes, then the number of observations for each class gives the grouped frequency distribution (FD). This kind of FD is particularly important when the data are continuous so that you are likely to have very small frequencies for a very large number of values.
it is a strong word that is used in expositions and arguments if data is in the form of frequency distribution then the modal range is the interval containing the highest frequency of observations
Yes. Often hundreds and sometimes (eg in a population Census), millions.
class interval - one of several convenient intervals into which the values of the variate of a frequency distribution may be grouped.