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Past experience has shown that the heights of a certain variety of rose bush have been normally distributed with mean $85.0{\text{ }}cm$. A new fertiliser is used and it is hoped that this will increase the heights. In order to test whether this is the case, a botanist records the heights, $x{\text{ }}cm$, of a large random sample of $n$ rose bushes and calculates that $\overline x  = 85.7$ and $s = 4.8$, where $\overline x $ is the sample mean and ${s^2}$ is an unbiased estimate of the population variance. The botanist then carries out an appropriate hypothesis test.

a) The test statistic, $z$, has a value of $1.786$ correct to 3 decimal places. Calculate the value of $n$.

b) Using this value of the test statistic, carry out the test at the 5% significance level.

پاسخ تشریحی :
نمایش پاسخ

a) $\frac{{85.7 - 85}}{{\frac{{4.8}}{{\sqrt n }}}}\,\,\,\,\,\,\left( { = 1.786} \right)$

$n = {\left( {\frac{{1.786 \times 4.8}}{{0.7}}} \right)^2}$

$ = 150$

b) ${H_0}:\mu  = 85.0$

${H_1}:\mu  \gt 85.0$

$z = 1.645$

Evidence that $\mu $ increased

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