CAIE S1 2016 November — Question 1 3 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2016
SessionNovember
Marks3
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicNormal Distribution
TypeFind k given probability statement
DifficultyModerate -0.8 This is a straightforward inverse normal distribution problem requiring only a single step: look up the z-value for upper quartile (0.674) and apply the transformation k = μ + zσ = 20 + 0.674(7). It tests basic understanding of normal distribution with no problem-solving or multi-step reasoning required.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation

1 The random variable \(X\) is such that \(X \sim \mathrm {~N} ( 20,49 )\). Given that \(\mathrm { P } ( X > k ) = 0.25\), find the value of \(k\).

Question 1:
AnswerMarks Guidance
\(z = 0.674\)M1 ±0.674 seen
\(0.674 = \frac{k-20}{7}\)M1 Standardising no cc, no sq, no sq rt
\(k = 24.7\)A1
[3]
Question 1:

$z = 0.674$ | M1 | ±0.674 seen

$0.674 = \frac{k-20}{7}$ | M1 | Standardising no cc, no sq, no sq rt

$k = 24.7$ | A1

[3]
1 The random variable $X$ is such that $X \sim \mathrm {~N} ( 20,49 )$. Given that $\mathrm { P } ( X > k ) = 0.25$, find the value of $k$.

\hfill \mbox{\textit{CAIE S1 2016 Q1 [3]}}