Answer:
A) 0.0087
B) 17
C) 0.1205
D) 113.68
Step-by-step explanation:
Given data
Mean = 122
Standard deviation = 16
(a)
We need to calculate [tex]P(\ bar X \geq 160) = 1 - P( \bar X <160)[/tex]
[tex]Z = \frac{(160-122)}{16} = 2.375[/tex]
from Z table we found p-value
[tex]P(X \bar \geq 160) = 1- 0.9913 = 0.0087[/tex]
(b)
If sample size = 2000
so there are[tex] (2000\times 0.0087) = 17.4 or 17[/tex] people who have bp > 160
(c)
[tex]P(140 < \bar X < 160) = P(\bar X< 160) - P( \bar X < 140)[/tex]
[tex]Z = \frac{(160-122)}{16} = 2.375[/tex]
[tex]Z = \frac{(140-122)}{16} = 1.125[/tex]
So from Z table we found p-value
[tex]P(140 < \bar X < 160) = 0.9913 - 0.8708 = 0.1205[/tex]
(d)
P-value = 0.3
from Z table, Â Z-score is -0.52
So [tex]-0.52 = \frac{(\bar X -122)}{16}[/tex]
[tex]-8.32 = \bar X -122[/tex]
[tex]\bar X = 113.68[/tex]