OCR MEI S1 2007 June — Question 8 18 marks

Exam BoardOCR MEI
ModuleS1 (Statistics 1)
Year2007
SessionJune
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicHypothesis test of binomial distributions
TypeExpected value and most likely value
DifficultyStandard +0.3 This is a straightforward binomial distribution question covering standard S1 content: calculating probabilities, expectation, mode, and conducting a one-tailed hypothesis test. All parts follow textbook procedures with no novel problem-solving required. The critical region calculation is routine, though part (vi) requires understanding of significance levels. Slightly above average difficulty due to the multi-part nature and the conceptual element in (vi), but still a standard exam question.
Spec2.04b Binomial distribution: as model B(n,p)2.04c Calculate binomial probabilities2.05a Hypothesis testing language: null, alternative, p-value, significance2.05b Hypothesis test for binomial proportion2.05c Significance levels: one-tail and two-tail

8 A multinational accountancy firm receives a large number of job applications from graduates each year. On average \(20 \%\) of applicants are successful. A researcher in the human resources department of the firm selects a random sample of 17 graduate applicants.
  1. Find the probability that at least 4 of the 17 applicants are successful.
  2. Find the expected number of successful applicants in the sample.
  3. Find the most likely number of successful applicants in the sample, justifying your answer. It is suggested that mathematics graduates are more likely to be successful than those from other fields. In order to test this suggestion, the researcher decides to select a new random sample of 17 mathematics graduate applicants. The researcher then carries out a hypothesis test at the \(5 \%\) significance level.
  4. (A) Write down suitable null and alternative hypotheses for the test.
    (B) Give a reason for your choice of the alternative hypothesis.
  5. Find the critical region for the test at the \(5 \%\) level, showing all of your calculations.
  6. Explain why the critical region found in part (v) would be unaltered if a \(10 \%\) significance level were used.

Question 8:
Part (i)
\(X \sim B(17, 0.2)\)
AnswerMarks Guidance
\(P(X \geq 4) = 1 - P(X \leq 3) = 1 - 0.5489 = 0.4511\)B1 for \(0.5489\), M1 for \(1 -\) their \(0.5489\), A1 CAO 3 marks
Part (ii)
AnswerMarks Guidance
\(E(X) = np = 17\times0.2 = 3.4\)M1 for product, A1 CAO 2 marks
Part (iii)
\(P(X=2) = 0.3096 - 0.1182 = 0.1914\)
\(P(X=3) = 0.5489 - 0.3096 = 0.2393\)
\(P(X=4) = 0.7582 - 0.5489 = 0.2093\)
AnswerMarks Guidance
So 3 applicants is most likelyB1 for \(0.2393\), B1 for \(0.2093\), A1 CAO dep on both B1s 3 marks
Part (iv)
\((A)\) Let \(p =\) probability of a randomly selected maths graduate applicant being successful (for population)
\(H_0: p = 0.2\)
\(H_1: p > 0.2\)
AnswerMarks Guidance
\((B)\) \(H_1\) has this form as the suggestion is that mathematics graduates are more likely to be successful.B1 for definition of \(p\) in context, B1 for \(H_0\), B1 for \(H_1\), E1 4 marks
Part (v)
Let \(X \sim B(17, 0.2)\)
\(P(X \geq 6) = 1 - P(X \leq 5) = 1 - 0.8943 = 0.1057 > 5\%\)
\(P(X \geq 7) = 1 - P(X \leq 6) = 1 - 0.9623 = 0.0377 < 5\%\)
AnswerMarks Guidance
So critical region is \(\{7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17\}\)B1 for \(0.1057\), B1 for \(0.0377\), M1 for at least one comparison with \(5\%\), A1 CAO for critical region dep on M1 and at least one B1 4 marks
Part (vi)
Because \(P(X \geq 6) = 0.1057 > 10\%\)
Either: comment that 6 is still outside the critical region
AnswerMarks Guidance
Or comparison \(P(X \geq 7) = 0.0377 < 10\%\)E1, E1 2 marks
# Question 8:

## Part (i)
$X \sim B(17, 0.2)$

$P(X \geq 4) = 1 - P(X \leq 3) = 1 - 0.5489 = 0.4511$ | B1 for $0.5489$, M1 for $1 -$ their $0.5489$, A1 CAO | 3 marks

## Part (ii)
$E(X) = np = 17\times0.2 = 3.4$ | M1 for product, A1 CAO | 2 marks

## Part (iii)
$P(X=2) = 0.3096 - 0.1182 = 0.1914$

$P(X=3) = 0.5489 - 0.3096 = 0.2393$

$P(X=4) = 0.7582 - 0.5489 = 0.2093$

So 3 applicants is most likely | B1 for $0.2393$, B1 for $0.2093$, A1 CAO dep on both B1s | 3 marks

## Part (iv)
$(A)$ Let $p =$ probability of a randomly selected maths graduate applicant being successful (for population)

$H_0: p = 0.2$

$H_1: p > 0.2$

$(B)$ $H_1$ has this form as the suggestion is that mathematics graduates are more likely to be successful. | B1 for definition of $p$ in context, B1 for $H_0$, B1 for $H_1$, E1 | 4 marks

## Part (v)
Let $X \sim B(17, 0.2)$

$P(X \geq 6) = 1 - P(X \leq 5) = 1 - 0.8943 = 0.1057 > 5\%$

$P(X \geq 7) = 1 - P(X \leq 6) = 1 - 0.9623 = 0.0377 < 5\%$

So critical region is $\{7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17\}$ | B1 for $0.1057$, B1 for $0.0377$, M1 for at least one comparison with $5\%$, A1 CAO for critical region dep on M1 and at least one B1 | 4 marks

## Part (vi)
Because $P(X \geq 6) = 0.1057 > 10\%$

Either: comment that 6 is still outside the critical region

Or comparison $P(X \geq 7) = 0.0377 < 10\%$ | E1, E1 | 2 marks
8 A multinational accountancy firm receives a large number of job applications from graduates each year. On average $20 \%$ of applicants are successful.

A researcher in the human resources department of the firm selects a random sample of 17 graduate applicants.
\begin{enumerate}[label=(\roman*)]
\item Find the probability that at least 4 of the 17 applicants are successful.
\item Find the expected number of successful applicants in the sample.
\item Find the most likely number of successful applicants in the sample, justifying your answer.

It is suggested that mathematics graduates are more likely to be successful than those from other fields. In order to test this suggestion, the researcher decides to select a new random sample of 17 mathematics graduate applicants. The researcher then carries out a hypothesis test at the $5 \%$ significance level.
\item (A) Write down suitable null and alternative hypotheses for the test.\\
(B) Give a reason for your choice of the alternative hypothesis.
\item Find the critical region for the test at the $5 \%$ level, showing all of your calculations.
\item Explain why the critical region found in part (v) would be unaltered if a $10 \%$ significance level were used.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI S1 2007 Q8 [18]}}