Understanding Cumulative Frequency in GCSE Mathematics: Wage Distribution Analysis
When analyzing wage distribution data in GCSE Maths past papers Foundation, understanding cumulative frequency is crucial. This example explores a dataset of 80 people's weekly wages, demonstrating how to construct and interpret cumulative frequency tables and graphs.
The wage data is organized into class intervals, starting from £200-250 up to £450-500. To create a cumulative frequency table, we add each frequency to the running total, showing how many people earn up to each wage boundary. For instance, 5 people earn £200-250, so the first cumulative frequency is 5. Adding the next 10 people earning £250-300 gives us 15, and this pattern continues until we reach the total of 80 people.
Definition: Cumulative frequency represents the running total of frequencies up to each class boundary. It shows how many observations fall at or below each value.
When constructing the cumulative frequency graph, plot the upper boundary of each class interval against its cumulative frequency. The resulting curve, known as an ogive, helps visualize the distribution of wages. This is particularly useful for mathematics paper 1 non calculator 1ma1/1f answers and similar assessments.
To determine whether Juan's statement "60% of this group of people have a weekly wage of £360 or less" is correct, we need to:
- Calculate 60% of 80 people 48people
- Use the graph to find the wage corresponding to 48 people
- Compare this with £360