Mean and standard deviation of grouped data, and combining groups
Watch the whole lecture free
Make a free account to watch every lecture to the end: 3 practice questions, 1 real past-paper question with the answer explained and a quick quiz.
That was the teaching part. The rest of this lecture is free with an account: 3 practice questions, 1 real past-paper question with the answer explained and a quick quiz.
No password needed now: we email you a link to set one. Already have an account? Sign in, then come back to this page.
The teaching part (3 min) is free to watch. A free account opens the whole lecture: 3 practice questions, 1 real past-paper question with the answer explained and a quick quiz.
What this lecture covers
- How spread out?
- Grouped data
- Variance and standard deviation
- A worked table
- Working it out
- Combining means
- Combining standard deviations
- Comparing with mean and SD
- Mistakes that lose marks
- The full-marks tip
- On one card
Read the transcript of the teaching part
Last time
Before we start: last time, in Cumulative frequency, you learned these points. Here they are again on one card. Keep them in mind, because today builds on them.
How spread out?
The standard deviation measures how far values typically lie from the mean. This lesson covers the mean and standard deviation of grouped data, and how to combine the means and standard deviations of two groups.
Grouped data
For grouped data the exact values are unknown, so each class is represented by its mid-point, x. The mean is Σfx divided by Σf, and it is only an estimate. Grouping makes a large data set easier to handle and display, but the original values are lost.
Variance and standard deviation
The variance is Σfx² divided by Σf, minus the mean squared. The standard deviation is the square root of the variance. A larger standard deviation means the values are more spread out; a smaller one, more consistent.
A worked table
Columns for f times x and f times x squared, with their totals.
Working it out
The mean is 160 over 10, which is 16. The variance is 3,050 over 10, which is 305, minus 16 squared, 256: so 49. The standard deviation is the square root of 49, which is 7.
Combining means
The combined mean is the total of all the values divided by the total number: n one m one plus n two m two, over n one plus n two. 20 students with a mean of 60 and 30 with a mean of 70: 1,200 plus 2,100 is 3,300, and 3,300 over 50 is 66. The combined mean is not simply halfway between 60 and 70, because the groups differ in size.
Combining standard deviations
For each group, Σx² is n times the standard deviation squared plus the mean squared. With standard deviations 5 and 10: 20 times 3,625 is 72,500, and 30 times 5,000 is 150,000. Together, 222,500. The variance is 222,500 over 50, which is 4,450, minus 66 squared, 4,356: so 94. The standard deviation is about 9.70.
Comparing with mean and SD
A higher mean shows larger values on average. A smaller standard deviation shows more consistent values. Always say what this means in the context: for example, one machine fills bags more consistently than the other.
Mistakes that lose marks
Mistake one: using a class boundary or the class width instead of the mid-point as x. Mistake two: squaring Σfx instead of adding up f times x squared. Mistake three: averaging two means, or two standard deviations, without allowing for the group sizes. The fix: a table with fx and fx², and Σx² to combine.
The full-marks tip
The full-marks tip: set out columns for x, f, fx and fx², and show their totals. To combine groups, rebuild each group's Σx and Σx², then use the formulas on the totals.
On one card
So, on one card: mean and standard deviation. Keep it for revision.
How often it comes up
The whole chapter: Statistical Measures.
Chapter 5: Statistical Measures
- Mean, median, mode and range, and comparing rates 4 min
- Mean and standard deviation of grouped data, and combining groups 4 min
Also for O Level Statistics 4040
Which topics come up most in O Level Statistics 4040 past papers, counted from every paper since 2004.