CAIE S1 2019 November — Question 3 7 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2019
SessionNovember
Marks7
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicMeasures of Location and Spread
TypeStandard combined mean and SD
DifficultyModerate -0.8 This is a routine application of standard formulas connecting mean/SD to sums. Part (i) requires direct substitution into memorized formulas (Σx = n×mean, Σx² from SD formula). Part (ii) combines two datasets using the same formulas in reverse. No problem-solving or conceptual insight needed—purely mechanical calculation with well-practiced techniques.
Spec2.02g Calculate mean and standard deviation

3 The mean and standard deviation of 20 values of \(x\) are 60 and 4 respectively.
  1. Find the values of \(\Sigma x\) and \(\Sigma x ^ { 2 }\).
    Another 10 values of \(x\) are such that their sum is 550 and the sum of their squares is 40500 .
  2. Find the mean and standard deviation of all these 30 values of \(x\).

Question 3(i):
AnswerMarks Guidance
AnswerMarks Guidance
\(\sum x = 60 \times 20 = 1200\)B1
\(\dfrac{\sum x^2}{20} - 60^2 = 4^2\)M1 Correct variance formula used, condone \(= 4\)
\(\sum x^2 = 3616 \times 20 = 72320\)A1 Exact value
Total: 3 marks
Question 3(ii):
AnswerMarks Guidance
AnswerMarks Guidance
\(\sum x = 1200 + 550 = 1750\), \(\sum x^2 = 72320 + 40500 = 112800\)M1 Summing both values of \(\sum x\) and \(\sum x^2\)
\(\text{Mean} = \frac{1750}{30} = 58.3\)B1FT FT *their* 1750 (not 550 or 1200)/*their*(20+10), accept unsimplified
\(\text{Variance} = \frac{112820}{30} - \left(\frac{1750}{30}\right)^2 = 357.89\)M1 Substitute *their* \(\sum x\) and \(\sum x^2\) into correct variance formula
\(\text{s.d.} = 18.9\)A1
## Question 3(i):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $\sum x = 60 \times 20 = 1200$ | B1 | |
| $\dfrac{\sum x^2}{20} - 60^2 = 4^2$ | M1 | Correct variance formula used, condone $= 4$ |
| $\sum x^2 = 3616 \times 20 = 72320$ | A1 | Exact value |

**Total: 3 marks**

## Question 3(ii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $\sum x = 1200 + 550 = 1750$, $\sum x^2 = 72320 + 40500 = 112800$ | M1 | Summing both values of $\sum x$ and $\sum x^2$ |
| $\text{Mean} = \frac{1750}{30} = 58.3$ | B1FT | FT *their* 1750 (not 550 or 1200)/*their*(20+10), accept unsimplified |
| $\text{Variance} = \frac{112820}{30} - \left(\frac{1750}{30}\right)^2 = 357.89$ | M1 | Substitute *their* $\sum x$ and $\sum x^2$ into correct variance formula |
| $\text{s.d.} = 18.9$ | A1 | |

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3 The mean and standard deviation of 20 values of $x$ are 60 and 4 respectively.\\
(i) Find the values of $\Sigma x$ and $\Sigma x ^ { 2 }$.\\

Another 10 values of $x$ are such that their sum is 550 and the sum of their squares is 40500 .\\
(ii) Find the mean and standard deviation of all these 30 values of $x$.\\

\hfill \mbox{\textit{CAIE S1 2019 Q3 [7]}}