Let X be normally distributed with mean μ =
4.3 and standard deviation σ = 2. [You may find it
useful to reference the z table.]
a. Find P(X > 6.5).
(Round "z" value to 2 decimal places and final
answer to 4 decimal places.)
b. Find P(5.5 ≤ X ≤ 7.5). (Round "z" value to 2 decimal places and final answer to 4 decimal places.)
c. Find x such that P(X
> x) = 0.0869. (Round "z" value
and final answer to 3 decimal places.)
d. Find x such that P(x
≤ X ≤ 4.3) = 0.2088. (Negative value should be
indicated by a minus sign. Round "z" value and final
answer to 3 decimal places.)
Mean = 4.3
Standard deviation = 2
(a) P (X > 6.5) = 6.5 - 4.3/2 = 1.1
The value for this z score according to z score table is 0.8643
Required probability = 1 - 0.8643 = 0.1357
(b) P (5.5 < X < 7.5)
For x = 5.5, 5.5 - 4.3/2 = 0.6
For x = 7.5, 7.5 - 4.3/2 = 1.6
The value for this z scores 0.6 and 1.6 according to z score table is 0.7275 and 0.9452
Required probability = 0.9452 - 0.7275 = 0.2177
(c) P (X> x) = 0.0869
The z score for this value is -1.36
Required probability = 1 - 0.0869 = 0.913
(d) P (x < X < 4.3) = 0.2088
For x, x - 4.3/2 =?
For x = 4.3, 4.3 - 4.3/2 = 0
The value for this z score according to z score table is 0.5000
Now, 0.5000 - ? = 0.2088
0.5000 - 0.2088 = ?
? = 0.2912
If we look at the z score table then we can see that the value is for a z score of - 0.55
Z value = -0.55
And,
x - 4.3/2 = - 0.55
x - 4.3 = - 1.1
x = 4.3 - 1.1
x = 3.2
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