OCR MEI S3 2011 January — Question 1 19 marks

Exam BoardOCR MEI
ModuleS3 (Statistics 3)
Year2011
SessionJanuary
Marks19
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicNormal Distribution
TypeLinear transformation of normal
DifficultyStandard +0.3 This is a straightforward application of normal distribution transformations and hypothesis testing. Part (i) is a direct standardization, (ii) applies linear transformation properties (multiply by constant), (iii) uses sum of independent normals and inverse normal lookup, and (iv) is a standard one-sample t-test. All techniques are routine for S3 level with no novel problem-solving required, though the multi-part structure and hypothesis test push it slightly above average difficulty.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation5.04b Linear combinations: of normal distributions5.05c Hypothesis test: normal distribution for population mean5.05d Confidence intervals: using normal distribution

1 Each month the amount of electricity, measured in kilowatt-hours ( kWh ), used by a particular household is Normally distributed with mean 406 and standard deviation 12.
  1. Find the probability that, in a randomly chosen month, less than 420 kWh is used. The charge for electricity used is 14.6 pence per kWh .
  2. Write down the distribution of the total charge for the amount of electricity used in any one month. Hence find the probability that, in a randomly chosen month, the total charge is more than \(\pounds 60\).
  3. The household receives a bill every three months. Assume that successive months may be regarded as independent of each other. Find the value of \(b\) such that the probability that a randomly chosen bill is less than \(\pounds b\) is 0.99 . In a different household, the amount of electricity used per month was Normally distributed with mean 432 kWh . This household buys a new washing machine that is claimed to be cheaper to run than the old one. Over the next six months the amounts of electricity used, in kWh , are as follows. $$\begin{array} { l l l l l l } 404 & 433 & 420 & 423 & 413 & 440 \end{array}$$
  4. Treating this as a random sample, carry out an appropriate test, with a \(5 \%\) significance level, to see if there is any evidence to suggest that the amount of electricity used per month by this household has decreased on average.

1 Each month the amount of electricity, measured in kilowatt-hours ( kWh ), used by a particular household is Normally distributed with mean 406 and standard deviation 12.\\
(i) Find the probability that, in a randomly chosen month, less than 420 kWh is used.

The charge for electricity used is 14.6 pence per kWh .\\
(ii) Write down the distribution of the total charge for the amount of electricity used in any one month. Hence find the probability that, in a randomly chosen month, the total charge is more than $\pounds 60$.\\
(iii) The household receives a bill every three months. Assume that successive months may be regarded as independent of each other.

Find the value of $b$ such that the probability that a randomly chosen bill is less than $\pounds b$ is 0.99 .

In a different household, the amount of electricity used per month was Normally distributed with mean 432 kWh . This household buys a new washing machine that is claimed to be cheaper to run than the old one. Over the next six months the amounts of electricity used, in kWh , are as follows.

$$\begin{array} { l l l l l l } 
404 & 433 & 420 & 423 & 413 & 440
\end{array}$$

(iv) Treating this as a random sample, carry out an appropriate test, with a $5 \%$ significance level, to see if there is any evidence to suggest that the amount of electricity used per month by this household has decreased on average.

\hfill \mbox{\textit{OCR MEI S3 2011 Q1 [19]}}