Median is an important measure of central tendency. When a frequency distribution has open-end classes median can be used as a measure of central tendency.
What Is An Arithmetic Mean – The Measures of Central Tendency
The arithmetic mean of a data set is defined to be the sum of all the observations of the data set divided by the total number of observations in the data set.
Cumulative Frequency Distribution
Cumulative frequency to a particular value of the variable either means the number of observations less than or equal to that value or the number of observations greater than or equal to that value.
Frequency Distribution of Discrete and Continuous Variables
Discrete and Continuous Variables were defined in the article An Introduction to Frequency Distributions. We shall continue our discussion on frequency distributions in this article by moving on to Frequency Distributions of Discrete and Continuous Variables.
Elementary Estimation
Suppose, there is going to be a big event at your workplace or school. And you have to make an estimate the number of guests that will come to the event, because food, place etc need to be arranged for them. Is it possible to know the exact number of guests that will be coming?
An Introduction to Frequency Distribution
To study the frequency distributions of a variable one needs to be familiar with a few preliminary concepts. These are explained here in this article.
Simultaneous Equations
How to Solve simultaneous equations with Method of Substitution, Method of Elimination, Method of Comparison
Problems Leading to Simple Equations
The chief difficulty in solving an algebraic problem lies in expressing correctly the condition of the problem by means of symbols.
Rational and Irrational Numbers
In this article we shall extend our discussion of Rational and Irrational Numbers and explain in detail properties of Rational and Irrational Numbers.
Divisibility Rules
Divisibility rules make it easier for us to determine whether a certain number x is divisible by another number y or not.
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