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grandymaker [24]
2 years ago
12

A veterinarian investigating possible causes of enteroliths in horses suspects that feeding alfalfa may be to blame. She wishes

to estimate the proportion of horses with enteroliths who are fed at least two flakes of alfalfa per day. In a sample of 62 horses with enteroliths, she finds 42 are fed two or more flakes of alfalfa.
A 95% confidence interval is given by:

a. (0.524, 0.83).
b. (0.561, 0.794).
c. (0.601, 0.754).
d. (0.576, 0.744).
Mathematics
1 answer:
Ghella [55]2 years ago
4 0

Answer: b. (0.561, 0.794).

Step-by-step explanation:

We know that the confidence interval for population proportion (p) is given by:-

\hat{p}\pm z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

, where \hat{p}= Sample proportion.

n = Sample size.

z*  = Critical z-value.

Let p = proportion of horses with enteroliths who are fed at least two flakes of alfalfa per day.

As per given ,  n = 62

\hat{p}=\dfrac{42}{62}=0.67742

z-value for 95% confidence = z*=1.96

A 95% confidence interval is given by:

0.67742\pm (1.96)\sqrt{\dfrac{0.67742(1-0.67742)}{62}}\\\\ =0.67742\pm 0.11636\\\\ =(0.67742-0.11636,0.67742+0.11636 )\\\\=(0.56106, 0.79378)\approx(0.561,0.794 )

Thus , the required 95% confidence interval is (0.561, 0.794).

Hence, the correct option is b. (0.561, 0.794)..

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Answer:

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Step-by-step explanation:

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Answer:

We need a sample size of at least 719

Step-by-step explanation:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

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Now, we have to find z in the Ztable as such z has a pvalue of 1-\alpha.

So it is z with a pvalue of 1-0.025 = 0.975, so z = 1.96

Now, find the margin of error M as such

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0.3\sqrt{n} = 1.96*4.103

\sqrt{n} = \frac{1.96*4.103}{0.3}

(\sqrt{n})^{2} = (\frac{1.96*4.103}{0.3})^{2}

n = 718.57

Rouding up

We need a sample size of at least 719

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