Statistics - Frequency Tables
A frequency tables is a way to present data. The data are counted and ordered to summarize larger sets of data.
With a frequency table you can analyze the way the data is distributed across different values.
Frequency Tables
Frenquency means the number of times a value appears in the data. A table can quickly show us how many times each value appears.
If the data has many different values, it is easier to use intervals of values to present them in a table.
Here is the age of the 928 Nobel Prize winners up until the year 2020. In the table each row is an age interval of 10 years.
Age Interval | Frequency |
---|---|
10-19 | 1 |
20-29 | 2 |
30-39 | 48 |
40-49 | 157 |
50-59 | 234 |
60-69 | 259 |
70-79 | 174 |
80-89 | 50 |
90-99 | 3 |
We can see that there is only one winner from ages 10 to 19. And that the highest number of winners are in their 60s.
Note: The intervals for the values are also called 'bins'.
Relative Frequency Tables
Relative frenquency means the number of times a value appears in the data compared to the total amount. A percentage is a relative frequency.
Here are the relative frequencies of ages of Noble Prize winners. Now, all the frequencies are divided by the total (928) to give percentages.
Age Interval | Relative Frequency |
---|---|
10-19 | 0.11% |
20-29 | 0.22% |
30-39 | 5.17% |
40-49 | 16.92% |
50-59 | 25.22% |
60-69 | 27.91% |
70-79 | 18.75% |
80-89 | 5.39% |
90-99 | 0.32% |
Cumulative Frequency Tables
Cumulative frequency counts up to a particular value.
Here are the cumulative frequencies of ages of Nobel Prize winners. Now, we can see how many winners have been younger than a certain age.
Age | Cumulative Frequency |
---|---|
Younger than 20 | 1 |
Younger than 30 | 3 |
Younger than 40 | 51 |
Younger than 50 | 208 |
Younger than 60 | 442 |
Younger than 70 | 701 |
Younger than 80 | 875 |
Younger than 90 | 925 |
Younger than 100 | 928 |
Cumulative frequency tables can also be made with relative frequencies (percentages).