Question 13 Marks
Ten cartons are taken at random from an automatic filling machine. The mean net weight of the cartons is 11.8 kg and the standard deviation 0.15 kg. Does the sample mean differ significantly from the intended weight of 12 kg? [Given that for d.f. $=9, \mathrm{t}_{0.05}=2.26$]
Answer
View full question & answer→$\mu=$ Population mean $=12 \mathrm{Kg}$
$\bar{X}=$ Sample mean $=11.8 \mathrm{Kg}$
$\mathrm{n}=10$
Sample standard deviation $=\mathrm{s}=0.15$
Null Hypothesis $\mathrm{H}_{0}=$ There is no significance between the sample mean
$\bar{X}$ and the population mean $\mu$.
Alternate Hypothesis $\mathrm{H}_{1}=$ There is significance between the sample mean $\bar{X}$ and the population mean $\mu$
Let t be the test statistic given by
$t=\frac{\bar{X}-\mu}{\frac{s}{\sqrt{n-1}}}$
$t=\left(\frac{11.8-12}{0.15}\right) \times 3$
$=-4$
The test statistic t follows student t-distribution with (10-1)=9 degrees of freedom
It is given that $\mathrm{t}_{0.05}=2.26$
We observe that,
$|t|=4>2.26$
$\Longrightarrow$ Calculate $|\mathrm{t}|>$ tabulated $\mathrm{t}_{9}(0.05)$
So, the null hypothesis is rejected at a $5 \%$ level of significance.
Hence there is a significance between the sample mean $\bar{X}$ and the population mean $\mu$.
$\bar{X}=$ Sample mean $=11.8 \mathrm{Kg}$
$\mathrm{n}=10$
Sample standard deviation $=\mathrm{s}=0.15$
Null Hypothesis $\mathrm{H}_{0}=$ There is no significance between the sample mean
$\bar{X}$ and the population mean $\mu$.
Alternate Hypothesis $\mathrm{H}_{1}=$ There is significance between the sample mean $\bar{X}$ and the population mean $\mu$
Let t be the test statistic given by
$t=\frac{\bar{X}-\mu}{\frac{s}{\sqrt{n-1}}}$
$t=\left(\frac{11.8-12}{0.15}\right) \times 3$
$=-4$
The test statistic t follows student t-distribution with (10-1)=9 degrees of freedom
It is given that $\mathrm{t}_{0.05}=2.26$
We observe that,
$|t|=4>2.26$
$\Longrightarrow$ Calculate $|\mathrm{t}|>$ tabulated $\mathrm{t}_{9}(0.05)$
So, the null hypothesis is rejected at a $5 \%$ level of significance.
Hence there is a significance between the sample mean $\bar{X}$ and the population mean $\mu$.