Mean and standard deviation and probability

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SUMMARY

The discussion focuses on calculating the mean and standard deviation of systolic blood pressure for women aged 18-24, which is normally distributed with a mean of 114.8 mm Hg and a standard deviation of 13.1 mm Hg. For a sample of 100 women, the mean remains 114.8, while the standard deviation is calculated as 1.31 mm Hg, derived from the formula for the sampling distribution. The probability that the mean systolic blood pressure falls between 112.2 and 116.4 is determined using the Z-score formula, leading to a specific probability value.

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I did the problem but none of my answers match up with the answer choices so I'm obviously doing it wrong. Can someone show me how to do these two problems. I have a test coming up and I am so behind

For women aged 18-24, the systolic blood pressure (in hg mm) are normally distributed with a mean of 114.8 and a standard deviation of 13.1
100 women between 18 and 24 are randomly selected, let t represent the systolic pressure of 100 women
-Find the mean and standard deviation of t
a) 114.8, 131
b) 114.8, 13.1
c) 114.8, 1.31
d) 11.48, 1.31
d) 11.48, 1.31

-What is the probability that the mean systolic blood pressure t is between 112.2 and 116.4
a) .8649
b) .3879
c) .1578
d) .571
e) .0324
 
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Sampling Distribution of a Normal Variable

Given a random variable $$X$$. Suppose that the population distribution of $$X$$ is known to be normal, with mean $\mu$ and variance $\sigma^2$, that is, $X\sim N(\mu,\sigma)$. Then, for any sample size $n$, it follows that the sampling distribution of $X$ is normal, with mean $\mu$ and variance $\dfrac{\sigma^2}{n}$, that is, $\overline{X}\sim N\left(\mu,\dfrac{\sigma}{\sqrt{n}}\right)$[/box]

Based on this, what would you say the correct answer to the first part of the problem is?
 
For the second part of the question.

$\displaystyle P\left(112.2<\bar{T}<116.4\right) = P\left(\frac{112.2-\mu}{\frac{\sigma}{\sqrt{n}}}<Z<\frac{116.4-\mu}{\frac{\sigma}{\sqrt{n}}}\right)= \cdots$
 

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