Answer:
a) 0
b) 0.579 is the probability that chloride concentration is less than 105.
c) 0.32 is the probability that chloride concentration differs from the mean by more than 1 standard deviation.
Explanation:
We are given the following information in the question:
Mean, μ = 104
Standard Deviation, σ = 5
We are given that the distribution of blood chloride concentration is a bell shaped distribution that is a normal distribution.
Formula:
![z_(score) = \displaystyle(x-\mu)/(\sigma)](https://img.qammunity.org/2020/formulas/mathematics/college/5bpvqdbyqd8y38zhlcp80hz1p4ka5nivnl.png)
a) Since normal distribution s a continuous distribution, the probability for a particular value is zero. Therefore,
![P(x =105) = 0](https://img.qammunity.org/2020/formulas/mathematics/college/zeut96835ybr42jh7ke9ni1q3oqej7ju9r.png)
b) P(chloride concentration is less than 105)
![P(x < 105) = P(z < \displaystyle(105-104)/(5)) = P(z < 0.2)](https://img.qammunity.org/2020/formulas/mathematics/college/wtaig1o381v0aju2xv7njpnr2vk9m0j1v5.png)
Calculating the value from the standard normal table we have,
![P(z<0.2) = 0.579 = 57.9\%\\P( x < 105) = 57.9\%](https://img.qammunity.org/2020/formulas/mathematics/college/cvr1q7t3o7xx942b3x2bbigzcexhmlg2fa.png)
c) P(chloride concentration differs from the mean by more than 1 standard deviation)
Since it is a normal distribution, the Empirical rule shows that 68% falls within the first standard deviation, 95% within the first two standard deviations, and 99.7% within the first three standard deviations.
= 1 - P(chloride concentration within the mean by 1 standard deviation)
= 1 - 0.68 = 0.32