OCR Further Statistics 2020 November — Question 1 4 marks

Exam BoardOCR
ModuleFurther Statistics (Further Statistics)
Year2020
SessionNovember
Marks4
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicConfidence intervals
TypeCalculate CI from summary stats
DifficultyModerate -0.8 This is a straightforward confidence interval calculation for a normal distribution with known variance. It requires only direct application of the standard formula with no conceptual challenges—students simply need to recall the formula, identify n=8, σ²=30, and use the z-value 1.96. The calculation is routine with minimal steps for 4 marks.
Spec5.05d Confidence intervals: using normal distribution

The continuous random variable \(X\) has the distribution \(\text{N}(\mu, 30)\). The mean of a random sample of 8 observations of \(X\) is 53.1. Determine a 95\% confidence interval for \(\mu\). You should give the end points of the interval correct to 4 significant figures. [4]

Question 1:
AnswerMarks
130
53.1±1.96
8
AnswerMarks
(49.30, 56.90)M1
A1
A1
A1
AnswerMarks
[4]3.3
1.1
1.1
AnswerMarks
3.4Correct structure with 8
Square root correct
Awrt 1.96 used, can be implied
Both, only these numbers (4 sf
AnswerMarks
needed at least once)Allow e.g. (49.30, 56.9)
Question 1:
1 | 30
53.1±1.96
8
(49.30, 56.90) | M1
A1
A1
A1
[4] | 3.3
1.1
1.1
3.4 | Correct structure with 8
Square root correct
Awrt 1.96 used, can be implied
Both, only these numbers (4 sf
needed at least once) | Allow e.g. (49.30, 56.9)
The continuous random variable $X$ has the distribution $\text{N}(\mu, 30)$. The mean of a random sample of 8 observations of $X$ is 53.1.

Determine a 95\% confidence interval for $\mu$. You should give the end points of the interval correct to 4 significant figures. [4]

\hfill \mbox{\textit{OCR Further Statistics 2020 Q1 [4]}}