CAIE FP2 2014 June — Question 9 10 marks

Exam BoardCAIE
ModuleFP2 (Further Pure Mathematics 2)
Year2014
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicChi-squared goodness of fit
TypeChi-squared goodness of fit: Other continuous
DifficultyStandard +0.8 This question requires integration of a non-standard pdf (1/(x ln 8)) to find expected frequencies, calculation of chi-squared test statistic, and hypothesis testing. While the integration is straightforward (ln x), students must correctly apply probability theory, handle the given pdf, and execute a complete hypothesis test. It's more demanding than routine chi-squared tests due to the continuous distribution with a less familiar pdf, but follows standard A-level procedures once the setup is understood.
Spec5.06b Fit prescribed distribution: chi-squared test5.06c Fit other distributions: discrete and continuous

9 A random sample of 200 observations of the continuous random variable \(X\) was taken and the values are summarised in the following table.
Interval\(1 \leqslant x < 2\)\(2 \leqslant x < 3\)\(3 \leqslant x < 4\)\(4 \leqslant x < 5\)\(5 \leqslant x < 6\)\(6 \leqslant x < 7\)\(7 \leqslant x < 8\)
Observed frequency634532252276
It is required to test the goodness of fit of the distribution with probability density function \(f\) given by $$f ( x ) = \begin{cases} \frac { 1 } { x \ln 8 } & 1 \leqslant x < 8 \\ 0 & \text { otherwise } \end{cases}$$ The relevant expected frequencies, correct to 2 decimal places, are given in the following table.
Interval\(1 \leqslant x < 2\)\(2 \leqslant x < 3\)\(3 \leqslant x < 4\)\(4 \leqslant x < 5\)\(5 \leqslant x < 6\)\(6 \leqslant x < 7\)\(7 \leqslant x < 8\)
Expected frequency66.67\(p\)27.67\(q\)17.5414.8312.84
Show that \(p = 39.00\), correct to 2 decimal places, and find the value of \(q\). Carry out a goodness of fit test at the 5\% significance level.

Question 9:
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(p = 200 \int_2^3 (1/x \ln 8) \, dx\)
\(= (200/\ln 8)[\ln x]_2^3\)
\(= 200 \times 0.1950 = 39.00\)M1A1 A.G.
\(q = 21.46\) or \(21.45\)M1A1
4 marks
\(H_0\): \(f(x)\) fits dataB1 A.E.F.
\(\chi^2 = 0.202 + 0.923 + 0.678 + 0.584 + 1.134 + 4.134 + 3.644 = 11.3\)M1A1
\(\chi_{6, 0.95}^2 = 12.59\)B1
Accept \(H_0\) if \(\chi^2 \leqslant\) tabular valueM1
Distribution fits observationsA1 A.E.F.
6 marks, Total: 10
# Question 9:

| Answer/Working | Marks | Guidance |
|---|---|---|
| $p = 200 \int_2^3 (1/x \ln 8) \, dx$ | | |
| $= (200/\ln 8)[\ln x]_2^3$ | | |
| $= 200 \times 0.1950 = 39.00$ | M1A1 | A.G. |
| $q = 21.46$ or $21.45$ | M1A1 | |
| | | 4 marks |
| $H_0$: $f(x)$ fits data | B1 | A.E.F. |
| $\chi^2 = 0.202 + 0.923 + 0.678 + 0.584 + 1.134 + 4.134 + 3.644 = 11.3$ | M1A1 | |
| $\chi_{6, 0.95}^2 = 12.59$ | B1 | |
| Accept $H_0$ if $\chi^2 \leqslant$ tabular value | M1 | |
| Distribution fits observations | A1 | A.E.F. |
| | | 6 marks, Total: 10 |

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9 A random sample of 200 observations of the continuous random variable $X$ was taken and the values are summarised in the following table.

\begin{center}
\begin{tabular}{ | l | c | c | c | c | c | c | c | }
\hline
Interval & $1 \leqslant x < 2$ & $2 \leqslant x < 3$ & $3 \leqslant x < 4$ & $4 \leqslant x < 5$ & $5 \leqslant x < 6$ & $6 \leqslant x < 7$ & $7 \leqslant x < 8$ \\
\hline
Observed frequency & 63 & 45 & 32 & 25 & 22 & 7 & 6 \\
\hline
\end{tabular}
\end{center}

It is required to test the goodness of fit of the distribution with probability density function $f$ given by

$$f ( x ) = \begin{cases} \frac { 1 } { x \ln 8 } & 1 \leqslant x < 8 \\ 0 & \text { otherwise } \end{cases}$$

The relevant expected frequencies, correct to 2 decimal places, are given in the following table.

\begin{center}
\begin{tabular}{ | l | c | c | c | c | c | c | c | }
\hline
Interval & $1 \leqslant x < 2$ & $2 \leqslant x < 3$ & $3 \leqslant x < 4$ & $4 \leqslant x < 5$ & $5 \leqslant x < 6$ & $6 \leqslant x < 7$ & $7 \leqslant x < 8$ \\
\hline
Expected frequency & 66.67 & $p$ & 27.67 & $q$ & 17.54 & 14.83 & 12.84 \\
\hline
\end{tabular}
\end{center}

Show that $p = 39.00$, correct to 2 decimal places, and find the value of $q$.

Carry out a goodness of fit test at the 5\% significance level.

\hfill \mbox{\textit{CAIE FP2 2014 Q9 [10]}}