Grouped continuous data (Edexcel GCSE Statistics): Revision Notes
Grouped continuous data
Understanding the formula for grouped continuous data
When working with grouped continuous data, calculating the standard deviation requires a specific approach. The most straightforward formula to use is:
This formula is designed specifically for grouped data where we don't have individual values, but rather intervals or classes with frequencies.
Why we get estimates with continuous data
An important concept to understand is that when dealing with continuous data that has been grouped into intervals, our standard deviation calculation produces an estimate rather than an exact value.
This happens because we use the midpoint of each interval to represent all values within that class, just like we do when estimating the mean for continuous data.
Setting up your working columns
To calculate standard deviation for grouped continuous data, you need to add working columns to your frequency table:
- Mid (midpoint) - Find the middle value of each class interval
- f × Mid - Multiply frequency by midpoint
- f × Mid² - Multiply frequency by the square of the midpoint
These working columns allow you to find the three key sums needed for the formula: ∑f, ∑fx, and ∑fx².
Worked example: Time to solve puzzles
Worked Example: Time to Solve Puzzles
Let's work through a complete example using data about the time students took to solve a puzzle:
| Time, T (s) | Frequency, f | Mid T | fT | fT² |
|---|---|---|---|---|
| 0 < T ≤ 20 | 6 | 10 | 60 | 600 |
| 20 < T ≤ 40 | 11 | 30 | 330 | 9900 |
| 40 < T ≤ 60 | 13 | 50 | 650 | 32500 |
| 60 < T ≤ 80 | 6 | 70 | 420 | 29400 |
| 80 < T ≤ 100 | 4 | 90 | 360 | 32400 |
| Totals | 40 | 1820 | 104800 |
Step-by-step calculation process:
-
Find the midpoints: For each interval, add the boundaries and divide by 2
- For 0 < T ≤ 20: midpoint = (0 + 20) ÷ 2 = 10
-
Calculate working columns:
- fT: multiply each frequency by its midpoint
- fT²: multiply each frequency by the square of its midpoint
-
Find the totals:
- ∑f = 40, ∑fT = 1820, ∑fT² = 104800
-
Calculate the mean:
- Mean = ∑fT ÷ ∑f = 1820 ÷ 40 = 45.5 seconds
-
Apply the standard deviation formula:
- Standard deviation =
- Standard deviation =
- Standard deviation =
- Standard deviation = = 23.4 seconds (to 3 s.f.)
Another worked example: Bird flight distances
Worked Example: Bird Flight Distances
Here's another example showing distances birds flew from their nests:
| Distance, D (m) | Frequency, f | Mid D | fD | fD² |
|---|---|---|---|---|
| 0 < D ≤ 20 | 19 | 10 | 190 | 1900 |
| 20 < D ≤ 40 | 14 | 30 | 420 | 12600 |
| 40 < D ≤ 60 | 10 | 50 | 500 | 25000 |
| 60 < D ≤ 80 | 10 | 70 | 700 | 49000 |
| 80 < D ≤ 100 | 7 | 90 | 630 | 56700 |
| Totals | 60 | 2440 | 145200 |
Completing the calculation:
-
Calculate the mean:
- Mean = 2440 ÷ 60 = 40.67 metres (to 2 d.p.)
-
Calculate standard deviation:
- Standard deviation =
- Standard deviation =
- Standard deviation = = 27.7 metres (to 3 s.f.)
Important exam tips
Understanding the process is crucial, but avoiding common pitfalls will help you achieve accurate results in your calculations.
Common Mistakes to Avoid:
- Remember the square: Don't forget to square the midpoint when calculating the fT² column
- Check your arithmetic: Double-check your column totals as errors here will affect your final answer
- Round appropriately: Usually give your answer to 3 significant figures unless told otherwise
- Show working columns: In most exam questions, you'll need to show your working columns clearly
- Label your answer: Always include appropriate units in your final answer
Key Points to Remember:
- The standard deviation formula for grouped continuous data is:
- You need three working columns: midpoint, f × midpoint, and f × midpoint²
- The result is an estimate because we use midpoints to represent all values in each class interval
- Always check your column arithmetic carefully - small errors multiply through the calculation
- Remember to take the square root as your final step, and round to an appropriate number of significant figures