A uniform distribution is a continuous probability distribution where every value of X on an interval is equally likely to be the outcome.   If X is defined on the interval [a,b], then when graphed the density function for the distribution will be a horizontal line of height with domain [a,b].    Probabilities on a continuous random variable can be determined by calculating the area under the curve of the graph of the density function for the distribution.   In general: For a uniform distribution function defined on [a,b]   P(X < c) =    P(X > c) =    P(c < X < d) =  If X is a random variable with a uniform distribution for 4 < X < 12. where c 7.6)

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A uniform distribution is a continuous probability distribution where every value of X on an interval is equally likely to be the outcome.
 
If X is defined on the interval [a,b], then when graphed the density function for the distribution will be a horizontal line of height
with domain [a,b]. 
 
Probabilities on a continuous random variable can be determined by calculating the area under the curve of the graph of the density function for the distribution.
 
In general: For a uniform distribution function defined on [a,b]
 
P(X < c) = 
 
P(X > c) = 
 
P(c < X < d) = 
If X is a random variable with a uniform distribution for 4 < X < 12.
where c 7.6)
 
 
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