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Paul [167]
3 years ago
8

A certain dataset of systolic blood pressure measurements has a mean of 80 and a standard deviation of 3. Assuming the distribut

ion is bell-shaped and we randomly select a measurement:
a) What percentage of measurements are between 71 and 89?
b) What is the probability a person's blood systolic pressure measures more than 89?
c) What is the probability a person's blood systolic pressure being at most 75?
d) We should expect 15% of patients have a blood pressure below what measurement?
e) Would it be unusual for 3 patients to have a mean blood pressure measurement of more than 84? Explain.
Mathematics
1 answer:
creativ13 [48]3 years ago
6 0

Answer:

Explained below.

Step-by-step explanation:

Let <em>X</em> = systolic blood pressure measurements.

It is provided that, X\sim N(\mu=80,\sigma^{2}=3^{2}).

(a)

Compute the percentage of measurements that are between 71 and 89 as follows:

P(71

                        =P(-3

The percentage is, 0.9973 × 100 = 99.73%.

Thus, the percentage of measurements that are between 71 and 89 is 99.73%.

(b)

Compute the probability that a person's blood systolic pressure measures more than 89 as follows:

P(X>89)=P(\frac{X-\mu}{\sigma}>\frac{89-80}{3})

                =P(Z>3)\\=1-P(Z

Thus, the probability that a person's blood systolic pressure measures more than 89 is 0.0014.

(c)

Compute the probability that a person's blood systolic pressure being at most 75 as follows:

Apply continuity correction:

P(X\leq 75)=P(X

                =P(X

Thus, the probability that a person's blood systolic pressure being at most 75 is 0.034.

(d)

Let <em>x</em> be the blood pressure required.

Then,

P (X < x) = 0.15

⇒ P (Z < z) = 0.15

⇒ <em>z</em> = -1.04

Compute the value of <em>x</em> as follows:

z=\frac{x-\mu}{\sigma}\\\\-1.04=\frac{x-80}{3}\\\\x=80-(1.04\times3)\\\\x=76.88\\\\x\approx 76.9

Thus, the 15% of patients are expected to have a blood pressure below 76.9.

(e)

A <em>z</em>-score more than 2 or less than -2 are considered as unusual.

Compute the <em>z</em> score for \bar x as follows:

z=\frac{\bar x-\mu}{\sigma/\sqrt{n}}

  =\frac{84-80}{3/\sqrt{3}}\\\\=2.31

The <em>z</em>-score for the mean blood pressure measurement of 3 patients is more than 2.

Thus, it would be unusual.

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