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1 Assume that females have pulse rates that are normally distributed with a mean of p = 73.0 beats per minute and a standard
Question Help Assume that females have pulse rates that are normally distributed with a mean of p= 73.0 beats per minute and

A clinical trial tests a method designed to increase the probability of conceiving a girl. In the study 310 babies were born,
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Answer #1

1)

Given :

\mu = 73 , \sigma = 12.5

Solution :

a)

If 1 adult female is randomly selected, the probability that her pulse rate is less than 79 beats per minute will be

\bar{x} = 79

P(x < 79) = P\left ( \frac{x - \mu }{\sigma } < \frac{79-73}{12.5} \right )

P(x < 79) = P(z < 0.48)

Using Standard Normal Distribution Table,

Pr < 79) = 0.6844

The probability is 0.6844.

b)

If 4 adult females are randomly selected, the probability that they have pulse rate with a mean less than 79 beats per minute is

P(\bar{x} < 79) = P\left ( \frac{\bar{x} - \mu }{\frac{\sigma}{\sqrt{n}} } < \frac{79-73}{\frac{12.5}{\sqrt{2}}} \right )

P(\bar{x} < 79) = P\left ( z< 0.96\right )

Using Standard Normal Distribution Table,

P(x < 79) = 0.8315

The probability is 0.8315.

c)

Option B is correct.

Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size.

2)

Given :

n = 310

\widehat{p} = \frac{279}{310} = 0.9

(1 - \widehat{p} ) = (1 - 0.9) = 0.1

Z_{0.005} = 2.58

By using z table for CI 99%.

Solution :

99% Confidence Interval estimate for the percentage of girls born is

\widehat{p} \pm z_{0.005}\sqrt{\frac{\widehat{p}(1 - \widehat{p})}{n}}

0.9 \pm 2.58\sqrt{\frac{0.9(1 - 0.9)}{310}}

0.9 \pm 0.045

(0.855,0.945)

0.855 < p < 0.945

Does the method appear to be effective?

Yes, the proportion of the girls is significantly different from 0.5


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