Mathematics 9709/61 — May/June 2013
Cambridge A-Level · Probability & Statistics 1 (S1) · worked solutions for every part, with the mark scheme
Topics Representation of Data · The Normal Distribution · Discrete Random Variables · Permutations and Combinations · Probability
A summary of 30 values of gave the following information:
where is a constant.
Find the standard deviation of these values of .
Approach
Since adding a constant to each value does not change the spread of the data, the standard deviation of is the same as the standard deviation of . With and the given sums, use
and then take the square root.
Working
Answer
2.1
Walkthrough
We have values of , but only information about the coded values . The constant shifts all data by the same amount, so it changes the mean but not the spread. Therefore the standard deviation of equals the standard deviation of .
For any values , the variance can be written as
Here , so substitute the given sums:
Now compute each piece:
Thus
Finally, standard deviation is the positive square root:
Key Takeaways
- The variance formula can be used with and without needing the raw data.
- Adding or subtracting a constant from every value does not change variance or standard deviation.
- For coded data, the variance is still the mean of the squares minus the square of the mean of the coded values.
Common Mistakes
- Forgetting to divide both sums by 30 before combining them.
- Evaluating the formula correctly but forgetting to take the square root at the end.
- Squaring incorrectly; note .
Things to Be Careful About
- The mark scheme awards M1 for correct substitution into the variance formula and A1 for the accurate value (or ).
- Standard deviation is always non-negative, so choose the positive square root.
- Keep the working exact: is exactly , so is the exact answer.
Given that the mean of these values is 86, find the value of .
Approach
The mean of is found from the coded values by adding the constant back:
Substitute and , then solve for .
Working
Answer
c = 78.2
Walkthrough
The coded values are . Their mean is
If we add to every coded value, we recover the original values . Adding a constant to every value adds the same constant to the mean, so
We are told . Substitute this into the equation:
Key Takeaways
- The mean of can be recovered from coded data by adding the coding constant to the mean of the coded data.
- The relation is the direct link between the original mean and the coded sums.
Common Mistakes
- Writing or using the wrong sign between the two terms.
- Quoting without any method; the mark scheme requires the step to be seen.
- Confusing the sum with its mean .
Things to Be Careful About
- The mark scheme gives M1 as soon as is seen in the equation, then A1 for .
- Remember that subtracting the coding constant would give the opposite answer; adding it back is correct because .
- Since is a constant, exactly; no rounding is needed.
The rest of this paper
6 more questions- Q2The Normal Distribution5M
- Q3Representation of Data5M
- Q4The Normal Distribution7M
- Q5Discrete Random Variables9M
- Q6Permutations and Combinations9M
- Q7Probability11M