Respuesta :
Answer:
1)[tex]\mu=\frac{1}{2}(7.5+20) =13.75[/tex]
[tex]\sigma^2 = \frac{1}{12}(20-7.5)^2 =13.02[/tex]
2) [tex]F(x)=\big\{0, x<a[/tex]
[tex]F(x) =\big\{ \frac{x-a}{b-a}=\frac{x-7.5}{20-7.5}, a\leq x<b[/tex]
[tex]F(x)=\big\{1, x\geq b[/tex]
3) [tex]P(X<10)=F(10)=\frac{10-7.5}{20-7.5}=0.2[/tex]
[tex]P(10\leq X \leq 15)=F(15)-F(10)=\frac{15-7.5}{20-7.5} -\frac{10-7.5}{20-7.5}=0.6-0.2=0.4[/tex]
4) [tex]P(10.142\leq X \leq 17.358)=F(17.358)-F(10.142)=\frac{17.358-7.5}{20-7.5} -\frac{10.142-7.5}{20-7.5}=0.789-0.211=0.578[/tex]
[tex]P(6.534\leqX\leq 20.966)=P(6.534\leq X<7.5)+P(7.5\leq X \leq 20)+P(20<X\leq 20.966)=0+1+0=1[/tex]
Step-by-step explanation:
A uniform distribution, sometimes also known as a rectangular distribution, is a distribution that has constant probability.
Part 1
If X is a random variable that follows an uniform distribution [tex]x\sim U(a,b)[/tex]. The mean for an uniform distribution is given by : [tex]\mu=\frac{1}{2}(a+b)[/tex]
On this case a=7.5 and b=20 so if we replace we got:
[tex]\mu=\frac{1}{2}(7.5+20) =13.75[/tex]
The variance for the uniform distribution is given by this formula:
[tex]\sigma^2 = \frac{1}{12}(b-a)^2 [/tex]
And replacing we have:
[tex]\sigma^2 = \frac{1}{12}(20-7.5)^2 =13.02[/tex]
Part 2
The cumulative distribution function is given by:
[tex]F(x)=\big\{0, x<a[/tex]
[tex]F(x) =\big\{ \frac{x-a}{b-a}=\frac{x-7.5}{20-7.5}, a\leq x<b[/tex]
[tex]F(x)=\big\{1, x\geq b[/tex]
Part 3
What is the probability that observed depth is at most 10?
We are interested on this probability:
[tex]P(X<10)=F(10)=\frac{10-7.5}{20-7.5}=0.2[/tex]
What is the probability that observed depth is between 10 and 15?
On this case we want this probability:
[tex]P(10\leq X \leq 15)=F(15)-F(10)=\frac{15-7.5}{20-7.5} -\frac{10-7.5}{20-7.5}=0.6-0.2=0.4[/tex]
Part 4
What is the probability that the observed depth is within one standard deviation of the mean value? within 2 standard deviations?
First we find the limits within one deviation from the mean:
[tex]\mu-\sigma= 13.75-3.608=10.142[/tex]
[tex]\mu-\sigma= 13.75+3.608=17.358[/tex]
And we want this probability:
[tex]P(10.142\leq X \leq 17.358)=F(17.358)-F(10.142)=\frac{17.358-7.5}{20-7.5} -\frac{10.142-7.5}{20-7.5}=0.789-0.211=0.578[/tex]
Now we find the limits within two deviation's from the mean:
[tex]\mu-2*\sigma= 13.75-2*3.608=6.534[/tex]
[tex]\mu-2*\sigma= 13.75+2*3.608=20.966[/tex]
But since the random variable is defined just between (7.5 and 20) so we can find just the probability on these limits.
[tex]P(6.534\leqX\leq 20.966)=P(6.534\leq X<7.5)+P(7.5\leq X \leq 20)+P(20<X\leq 20.966)=0+1+0=1[/tex]