Q: What is a familiar and convenient way of keeping score of a set of observations when constructing a frequency distribution table?

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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

class interval - one of several convenient intervals into which the values of the variate of a frequency distribution may be grouped.

Yes. Often hundreds and sometimes (eg in a population Census), millions.

It is derived frequency distribution. XD

show the relative frequency distribution

A frequency distribution lists each value in the distribution and the number times it appears, while a relative frequency distribution reports the proportion of cases reporting each value

Cumulative Frequency is The total of a frequency and all frequencies so far in a frequency distribution. It is the 'running total' of frequencies in the frequency distribution table.

What are the disadvantages of frequency distribution tables

The most important thing in creating intervals for a frequency distribution is that the intervals used must be non-overlapping and contain all of the possible observations. They are often equal intervals, but sometimes unequal ones are used. It all depends on the data.

frequency distribution contain qualitative data

It depends on how tightly clustered the observations are. The answer would be different if the observations were 100, 102, 104, 107, 110, ... as opposed to 100, 150, 150, 150, 150, ... , 150, 220!

Are you talking about a histogram of the relative frequency distribution.

in form of percent

The frequency distribution table lists all the possible events and how many times (frequency) they occurred.

What are the importance of frequency

The relative frequency of a class is the frequency of the class divided by the total number of frequencies of the class and is generally expresses as a percentage.