Here we have
= 2.0, =1.1, n = 128
a) From normal distribution:-
Z=(-.2-2)/1.1
z = - 2
P(z < - 2) = 0.0228
So the number of observations in the data set that lie below - 0.2 = 0.0228 × 128 = 2.91
The approximate number of observations in the data set that lie below - 0.2 = 3
b) Using normal distribution:-
Z=(3.1-2)/1.1
z = 1
P(z < 1) = 0.8413
So the number of observations in the data set that lie below 3.1 = 0.8413 × 128 = 107.69
The approximate number of observations in the data set that lie below 3.1 = 108
c) Here
x1 = - 1.3
x2 = 0.9
By applying normal distribution:-
z=(-1.3-2)/1.1 = - 3
z=(0.9-2)/1.1 = - 1
P(- 3< z < - 1) =P(z > - 1)-P(Z<-3)=.1587-.0013=.1574
So the number of observations in the data set that lie between - 1.3 and 0.9 = 128 × 0.1574 = 20.1472
The approximate number of observations in the data set that lie between - 1.3 and 0.9 = 20
Dear student your last part answer seems wrong.
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