In statistics, a frequency distribution is a table that shows the frequency of numerous consequences in a sample. Every entry in the table comprises the frequency of the amounts of values within a specific group or interval, and in this technique, the table précises the distribution of values in the sample.
A frequency is the number of times a data value happens. For example, if ten students score 80 then 80 score has an f of 10. Frequency is frequently denoted by the letter f.
A frequency chart is made by placing data values in ascending order of magnitude along with their frequencies.
Frequency Chart:
If you are asked to define a frequency in statistics, it doesn’t just mean that you should just exclude the number of times somewhat occurs. It usually includes you having to make a frequency chart to display a list of frequencies.
Method 
Number 
Abstinence 
13 
Condoms 
47 
Injectable 
1 
Norplant 
1 
Pill 
35 
None 
307 
Total 
405 
Making Frequency Chart: 
Step 1: Make a chart for your data. For this example, you’ve been given a list of twenty blood kinds for emergency operation patients:
AB, A, O, A, AB, B, B, A, AB, B, O, O, AB, A
On the parallel alliance, write “f (#)” and “percent (%)”. On the upright axis, write your list of items. In example, we have four different blood types: A, B, AB, and O.

# 
% 
A 


B 


AB 


O 


Step 2: Sum the number of times every item seems in your data.
In this example, we have:
A seems 4 times.
B seems 3 times.
O seems 3 times.
AB seems 4 times.
Write those in the “
figure” column (#). This is your frequency.
Step 3:
Use the formula % = (f / n) × 100 to fill in the next column. In this example, n = total amount of things in your data = 14. A appears
5 times (frequency in this formula is just the number of times the item appears). So we have:
(4 / 14) × 100 = 28.5%
Fill the frequency column, changing the ‘f’ for each blood type.

# 
% 
A 
4 
28.5 
B 
3 
21.4 
AB 
4 
28.5 
O 
3 
21.4 
July 29, 2017