Hi Anni,
#1. Mean for continuous uniform distribution= (a + b)/2, where a and b are the minimum and maximum. So:
mu= (0+5.3)/2
mu= 2.6500
#2. Standard deviation for continuous uniform distribution:
sigma= sqrt[(b-a)2/12]
Again, a and b are the minimum and maximum, so:
sigma= sqrt[(5.3-0)2/12]
sigma = 1.5300
#3 In a continuous uniform distribution, i.e. one with infinite possible values--you can have 2.71, 2.715, etc.--P(any exact value)=0
P(X=2.7)=0
#4 Formula for this is:
P = (d-c)/(b-a)
a=minimum
b=maximum
c=lower bound of desired interval
d=higher bound of desired interval
P= (2.6-1.3)/(5.3-0)
P = 0.2453
#5. Same formula. P= (d -c) / (b-a)
a=0
b=5.3
c=3.36
d=5.3
P = (5.3-3.36)/(5.3-0)
P = 0.3660
#6 This is conditional probability. That notation means the probability that x is greater than 3.8 GIVEN that x is greater than 1.5.
Formula for this is P(A given B) = P(A and B)/P(B)
A= X>3.8
B= X>1.5
P(A)= same formula as above
P= (d-c)/(b-a)
a=0
b=5.3
c=3.8
d=5.3
P(A) = (5.3-3.8)/(5.3-0)
P(A)=0.2830
Keep this in mind. We can now get P(B) the same way, but change c to 1.5:
P(B) = (5.3-1.5/(5.3-0)
P(B) = 0.7170
Now, we know that if a value exceeds 3.8, it exceeds 1.5, so P(A and B)=0.2830
P(A given B) = 0.2830/0.7170 = 0.3947
P = 0.3947
#7. Formula is X = percentile * total length = pL
p=0.08 (8th percentile as decimal)
L=5.3
X= 0.08*5.3
X = 0.4240
#8. First or lower quartile is equivalent to 25th percentile, so use the same formula as above:
X=p*L
p=0.25
L=5.3
X= (0.25*5.3)
X= 1.3250
I hope this helps.