Caelan
2021-10-22
Answered

To find: The $95\mathrm{\%}$ confidence interval for the comparison.

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odgovoreh

Answered 2021-10-23
Author has **107** answers

Calculation:

The study is conducted to see that whether a sample of children of different age groups consumed an adequate amount of calcium or not. In the study, samples are considered from two independent populations (different age groups).

First, the proportion of children aged 5 to 10 year who met the calcium requirement is defined by the formula:

$\hat{p}}_{1}=\frac{\text{Count}}{\text{Sample size}$

Substitute the values in the above formula:

$\hat{p}}_{1}=\frac{\text{Count}}{\text{Sample size}$

$=\frac{861}{1055}$

$=0.8161$

Now, the proportion of children aged 11 to 13 years who met the calcium requirement is defined by the formula:

$\hat{p}}_{2}=\frac{\text{Count}}{\text{Sample size}$

Substitute the values in the above formula:

$\hat{p}}_{2}=\frac{\text{Count}}{\text{Sample size}$

$=\frac{417}{974}$

$=0.4281$

The$95\mathrm{\%}$ confidence interval is defined by the formula:

$CI=({p}_{1}-{p}_{2})\pm {z}_{\frac{\alpha}{2}}\times PSK\sqrt{\frac{{p}_{1}(1-{p}_{1})}{{n}_{1}}+\frac{{p}_{2}(1-{p}_{2})}{{n}_{2}}}$

Substitute the values in the above formula:

$CI=({p}_{1}-{p}_{2})\pm {z}_{\frac{\alpha}{2}}\times PSK\sqrt{\frac{{p}_{1}(1-{p}_{1})}{{n}_{1}}+\frac{{p}_{2}(1-{p}_{2})}{{n}_{2}}}$

$=(0.8161-0.4281)\pm 1.96\times \sqrt{0.8161(1-0.8161)}\left\{1055\right\}+\frac{0.4281(1-0.4281)}{974}$

$=0.388\pm 1.96\times 0.01983$

$=0.388\pm 0.03886$

$=(0.3492,0.4268)$

Hence, the required confidence interval is (0.3492, 0.4268).

The study is conducted to see that whether a sample of children of different age groups consumed an adequate amount of calcium or not. In the study, samples are considered from two independent populations (different age groups).

First, the proportion of children aged 5 to 10 year who met the calcium requirement is defined by the formula:

Substitute the values in the above formula:

Now, the proportion of children aged 11 to 13 years who met the calcium requirement is defined by the formula:

Substitute the values in the above formula:

The

Substitute the values in the above formula:

Hence, the required confidence interval is (0.3492, 0.4268).

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a. 514

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d. 34

$\begin{array}{|ccc|}\hline \text{Production line}& \text{Observed}& \text{Expected}\\ \text{A}& 250& 250\\ \text{B}& 200& 250\\ \text{C}& {300}^{2}50\\ \text{Total}& 750& 750\\ \hline\end{array}$

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