Problem

The recommended dietary allowance (RDA) of iron for adult females is 18 miligrams (mg) per day. The given iron intakes (mg) were obtained for 45 random adult females. At the $1 \%$ signicicance lovel, do the data suggest that adult females are, on average, getting less than the RDA of $18 \mathrm{mg}$ of iron? Assume that the population standard deviation is $4.6 \mathrm{mg}$. Preliminary data analyses indicate that applying the z-test is reasonable. (Note: $x=14.65 \mathrm{mg})$

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State the hypotheses for the one-mean z-test.
\[
\begin{array}{l}
\mathrm{H}_{6} \mu=18 \mathrm{ma} \\
\mathrm{H}_{\mathrm{a}} \mu< 18 \mathrm{mg}
\end{array}
\]
(Type integers or decimals. Do not round)
Compute the value of the test slatistic
\[
z=-4: 89
\]
(Round to fwo decimal places as needed)
Determine the P-value
\[
P=0.000
\]
(Round to three decimal places as needed)
the nuft hypothesis. At the $1 \%$ significance level, the data
sutficient evidonce to
conclude that adult females are
the RDA of iron, on average

Answer

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Answer

Make a conclusion: Therefore, we reject the null hypothesis and conclude that the average iron intake of adult females is less than the recommended dietary allowance (RDA) of 18mg. \(\boxed{\text{Final Answer: At the 1% significance level, the data provides sufficient evidence to conclude that adult females are getting less than the RDA of iron, on average.}}\)

Steps

Step 1 :State the hypotheses for the one-mean z-test: \(H_0: \mu = 18mg\) and \(H_a: \mu < 18mg\).

Step 2 :Compute the value of the test statistic: \(z = -4.89\).

Step 3 :Determine the P-value: \(P = 0.000\).

Step 4 :Interpret the results: The calculated z-score is approximately -4.89, which means that the sample mean is approximately 4.89 standard deviations below the population mean. This is a significant deviation, suggesting that the average iron intake of adult females is indeed less than the recommended dietary allowance (RDA) of 18mg.

Step 5 :The P-value is 0.000, which is less than the significance level of 0.01. This means that the probability of observing a sample mean as extreme as 14.65mg, assuming the null hypothesis is true, is less than 1%. This is strong evidence against the null hypothesis.

Step 6 :Make a conclusion: Therefore, we reject the null hypothesis and conclude that the average iron intake of adult females is less than the recommended dietary allowance (RDA) of 18mg. \(\boxed{\text{Final Answer: At the 1% significance level, the data provides sufficient evidence to conclude that adult females are getting less than the RDA of iron, on average.}}\)

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