What is the importance of Ogive
Answers
Answered by
1
Hey mate here's your answer
An ogive plot is useful in statistics when we want to know how many observations to expect for a range of data. It allows us to quickly see how many observations were measured for all ranges less than a particular number.
What Are Ogive Graphs?
In statistics, frequencies are very important. Statisticians use plots to illustrate data in pictorial form to make it easier to understand. If you like drawing pictures and making plots, you just might find statistics to be a lot of fun!
Do you know what cumulative means? According to one definition, it means ''by successive additions.'' If you know how to add, then you can use that skill to construct graphs called cumulative frequency plots, which are also known as ogive plots. By the time you finish this lesson, you'll be ready to go out and collect your own data and make some beautiful graphs!
An ogive graph is a plot used in statistics to show cumulative frequencies. It allows us to quickly estimate the number of observations that are less than or equal to a particular value.
An ogive plot is useful in statistics when we want to know how many observations to expect for a range of data. It allows us to quickly see how many observations were measured for all ranges less than a particular number.
What Are Ogive Graphs?
In statistics, frequencies are very important. Statisticians use plots to illustrate data in pictorial form to make it easier to understand. If you like drawing pictures and making plots, you just might find statistics to be a lot of fun!
Do you know what cumulative means? According to one definition, it means ''by successive additions.'' If you know how to add, then you can use that skill to construct graphs called cumulative frequency plots, which are also known as ogive plots. By the time you finish this lesson, you'll be ready to go out and collect your own data and make some beautiful graphs!
An ogive graph is a plot used in statistics to show cumulative frequencies. It allows us to quickly estimate the number of observations that are less than or equal to a particular value.
Similar questions