What is the difference between relative frequency and cumulative frequency?
We can make use of the charts and diagrams to see the difference in the tabulation of the two values.
Answer: Relative frequency represents the ratio of the number of times a value of the data occurs in a dataset, while cumulative frequency represents the sum of the relative frequencies.
Go through the explanation to understand better.
Frequency: Total number of times data occurs in the set is known as frequency.
Relative Frequency: Relative frequency is the fraction or proportion times an answer occurs in the data set. Relative frequencies can be written in decimal, fraction or percents.
Cumulative Relative Frequency: Cumulative frequency is the collection of all previous frequencies together. To find the cumulative relative frequencies, add all the previous relative frequencies to the relative frequency for the present given row or column.
Cumulative relative frequency is the accumulation of the previous relative frequencies.
Cumulative frequency distribution is a form of frequency distribution that represents the sum of a class and all classes.
The relative frequency of a class is the percentage of the data that falls in that class/bin, while the cumulative frequency of a class is the sum of the frequencies of that class and all previous classes.
|Price Range||Frequency||Cumulative frequency|
| 0 - 50
50 - 100
100 - 500
500 - 1000
1000 - 1500
Thus, the key difference can be stated as, relative frequency represents the ratio of the number of times a value of the data occurs in a dataset, while cumulative frequency represents the sum of the relative frequencies.