CAIE S1 2020 Specimen — Question 2 4 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2020
SessionSpecimen
Marks4
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicMeasures of Location and Spread
TypeCalculate mean from coded sums
DifficultyEasy -1.2 This is a straightforward application of the coding formula for variance. Given Σ(x-a) and Σ(x-a)² with n=20, students apply the standard formulas: variance = Σ(x-a)²/n - [Σ(x-a)/n]² and Σx² = Σ(x-a)² + 2aΣ(x-a) + na². This requires only direct substitution into memorized formulas with no problem-solving or conceptual insight needed, making it easier than average.
Spec2.02g Calculate mean and standard deviation

2 A summary of the speeds, \(x\) kilometres per hour, of 22 cars passing a certain point gave the following information: $$\Sigma ( x - 50 ) = 81.4 \text { and } \Sigma ( x - 50 ) ^ { 2 } = 671.0 .$$ Find the variance of the speeds and hence find the value of \(\Sigma x ^ { 2 }\).

Question 2:
AnswerMarks Guidance
AnswerMarks Guidance
Coded mean \(= \frac{81.4}{22} = 3.7\)M1 Attempt to find variance using coding in both, correct use of formula
\(\text{Var} = \frac{671}{22} - 3.7^2\)A1 Accept 16.8
\(\text{Var} = 16.81\); \(16.81 = \frac{\Sigma x^2}{22} - 53.7^2\)M1 using their variance and their mean with uncoded formula for both
\(\Sigma x^2 = 63811\)A1 Accept 63800
Total: 4 marks
## Question 2:

| Answer | Marks | Guidance |
|--------|-------|----------|
| Coded mean $= \frac{81.4}{22} = 3.7$ | M1 | Attempt to find variance using coding in both, correct use of formula |
| $\text{Var} = \frac{671}{22} - 3.7^2$ | A1 | Accept 16.8 |
| $\text{Var} = 16.81$; $16.81 = \frac{\Sigma x^2}{22} - 53.7^2$ | M1 | using their variance and their mean with uncoded formula for both |
| $\Sigma x^2 = 63811$ | A1 | Accept 63800 |

**Total: 4 marks**

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2 A summary of the speeds, $x$ kilometres per hour, of 22 cars passing a certain point gave the following information:

$$\Sigma ( x - 50 ) = 81.4 \text { and } \Sigma ( x - 50 ) ^ { 2 } = 671.0 .$$

Find the variance of the speeds and hence find the value of $\Sigma x ^ { 2 }$.\\

\hfill \mbox{\textit{CAIE S1 2020 Q2 [4]}}