OCR MEI S1 — Question 3 8 marks

Exam BoardOCR MEI
ModuleS1 (Statistics 1)
Marks8
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TopicPrinciple of Inclusion/Exclusion
TypeFinding Unknown Probabilities in Venn Diagrams
DifficultyStandard +0.3 This is a straightforward application of the inclusion-exclusion principle with one algebraic constraint. Students must set up equations using P(A∪B) = 1 - 0.1 = 0.9, P(A∩B) = 0.3, and P(A) = 2P(B), then solve a simple linear system. It requires understanding of Venn diagram regions and basic algebra, making it slightly easier than average for A-level.
Spec2.03a Mutually exclusive and independent events2.03c Conditional probability: using diagrams/tables

3 The Venn diagram illustrates the occurrence of two events \(A\) and \(B\). \includegraphics[max width=\textwidth, alt={}, center]{1ad9c390-b42f-47d8-86c5-f73a42d97721-02_513_826_1713_658} You are given that \(\mathrm { P } ( A \cap B ) = 0.3\) and that the probability that neither \(A\) nor \(B\) occurs is 0.1 . You are also given that \(\mathrm { P } ( A ) = 2 \mathrm { P } ( B )\). Find \(\mathrm { P } ( B )\).

(i) State two adjustments the company could make. [2]
B1: Increase the mean weight
B1: Decrease the standard deviation
(ii) Given that \(\Sigma x = 11409\) and \(\Sigma x^2 = 5206937\), calculate the sample mean and sample standard deviation of these weights. [3]
M1: Sample mean \(= \frac{\Sigma x}{n} = \frac{11409}{25}\)
A1: Sample mean \(= 456.36\) grams
M1: Sample standard deviation \(= \sqrt{\frac{\Sigma x^2}{n} - (\bar{x})^2}\) or \(\sqrt{\frac{\Sigma x^2 - \frac{(\Sigma x)^2}{n}}{n}}\)
A1: Sample standard deviation \(= 4.72\) grams (or 4.71 grams)
**(i) State two adjustments the company could make. [2]**

B1: Increase the mean weight
B1: Decrease the standard deviation

**(ii) Given that $\Sigma x = 11409$ and $\Sigma x^2 = 5206937$, calculate the sample mean and sample standard deviation of these weights. [3]**

M1: Sample mean $= \frac{\Sigma x}{n} = \frac{11409}{25}$

A1: Sample mean $= 456.36$ grams

M1: Sample standard deviation $= \sqrt{\frac{\Sigma x^2}{n} - (\bar{x})^2}$ or $\sqrt{\frac{\Sigma x^2 - \frac{(\Sigma x)^2}{n}}{n}}$

A1: Sample standard deviation $= 4.72$ grams (or 4.71 grams)

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3 The Venn diagram illustrates the occurrence of two events $A$ and $B$.\\
\includegraphics[max width=\textwidth, alt={}, center]{1ad9c390-b42f-47d8-86c5-f73a42d97721-02_513_826_1713_658}

You are given that $\mathrm { P } ( A \cap B ) = 0.3$ and that the probability that neither $A$ nor $B$ occurs is 0.1 . You are also given that $\mathrm { P } ( A ) = 2 \mathrm { P } ( B )$.

Find $\mathrm { P } ( B )$.

\hfill \mbox{\textit{OCR MEI S1  Q3 [8]}}
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