Expected value and variance of a piecewise function with the integral
$begingroup$
I have the following stepwise function:
f(x) = 1/3 for -1 <= x < 0, 2/3 for 0 <=x<=1, 0 otherwise
I wonder how I can derive E(X) and Var(X) of a stepwise uniform function using the integral. If I draw it I would say the mean is at x = 1/4 (as then the area below the function equals 0.5). But when I am integrating it I get 1/6.
Can someony help me and show how I properly solve this question?
Thanks a lot!
integration statistics means variance
$endgroup$
add a comment |
$begingroup$
I have the following stepwise function:
f(x) = 1/3 for -1 <= x < 0, 2/3 for 0 <=x<=1, 0 otherwise
I wonder how I can derive E(X) and Var(X) of a stepwise uniform function using the integral. If I draw it I would say the mean is at x = 1/4 (as then the area below the function equals 0.5). But when I am integrating it I get 1/6.
Can someony help me and show how I properly solve this question?
Thanks a lot!
integration statistics means variance
$endgroup$
1
$begingroup$
Perhaps we could be more helpful if you explained how your got $1/6,$ and why you think it is wrong.
$endgroup$
– BruceET
Sep 24 '17 at 6:07
$begingroup$
What about applying the formula for of E(X) in terms of the PDF?
$endgroup$
– Did
Sep 24 '17 at 18:22
add a comment |
$begingroup$
I have the following stepwise function:
f(x) = 1/3 for -1 <= x < 0, 2/3 for 0 <=x<=1, 0 otherwise
I wonder how I can derive E(X) and Var(X) of a stepwise uniform function using the integral. If I draw it I would say the mean is at x = 1/4 (as then the area below the function equals 0.5). But when I am integrating it I get 1/6.
Can someony help me and show how I properly solve this question?
Thanks a lot!
integration statistics means variance
$endgroup$
I have the following stepwise function:
f(x) = 1/3 for -1 <= x < 0, 2/3 for 0 <=x<=1, 0 otherwise
I wonder how I can derive E(X) and Var(X) of a stepwise uniform function using the integral. If I draw it I would say the mean is at x = 1/4 (as then the area below the function equals 0.5). But when I am integrating it I get 1/6.
Can someony help me and show how I properly solve this question?
Thanks a lot!
integration statistics means variance
integration statistics means variance
asked Sep 24 '17 at 4:51
Severin LinderSeverin Linder
6
6
1
$begingroup$
Perhaps we could be more helpful if you explained how your got $1/6,$ and why you think it is wrong.
$endgroup$
– BruceET
Sep 24 '17 at 6:07
$begingroup$
What about applying the formula for of E(X) in terms of the PDF?
$endgroup$
– Did
Sep 24 '17 at 18:22
add a comment |
1
$begingroup$
Perhaps we could be more helpful if you explained how your got $1/6,$ and why you think it is wrong.
$endgroup$
– BruceET
Sep 24 '17 at 6:07
$begingroup$
What about applying the formula for of E(X) in terms of the PDF?
$endgroup$
– Did
Sep 24 '17 at 18:22
1
1
$begingroup$
Perhaps we could be more helpful if you explained how your got $1/6,$ and why you think it is wrong.
$endgroup$
– BruceET
Sep 24 '17 at 6:07
$begingroup$
Perhaps we could be more helpful if you explained how your got $1/6,$ and why you think it is wrong.
$endgroup$
– BruceET
Sep 24 '17 at 6:07
$begingroup$
What about applying the formula for of E(X) in terms of the PDF?
$endgroup$
– Did
Sep 24 '17 at 18:22
$begingroup$
What about applying the formula for of E(X) in terms of the PDF?
$endgroup$
– Did
Sep 24 '17 at 18:22
add a comment |
2 Answers
2
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votes
$begingroup$
Here is a start:
$$mu = E(X) = int_{-1}^1 xf(x),dx = int_{-1}^0 x(1/3),dx
+ int_0^1 x(2/3),dx = dots,.$$
Find $E(X^2)$ similarly, and use $Var(X) = E(X^2) - mu^2.$
$endgroup$
$begingroup$
Thank you already! So, then $$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$ and $$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$ Is this correct?
$endgroup$
– Severin Linder
Sep 24 '17 at 17:30
add a comment |
$begingroup$
Thank you already!
So, then
$$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$
and
$$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$
Is this correct?
$endgroup$
add a comment |
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2 Answers
2
active
oldest
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2 Answers
2
active
oldest
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votes
$begingroup$
Here is a start:
$$mu = E(X) = int_{-1}^1 xf(x),dx = int_{-1}^0 x(1/3),dx
+ int_0^1 x(2/3),dx = dots,.$$
Find $E(X^2)$ similarly, and use $Var(X) = E(X^2) - mu^2.$
$endgroup$
$begingroup$
Thank you already! So, then $$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$ and $$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$ Is this correct?
$endgroup$
– Severin Linder
Sep 24 '17 at 17:30
add a comment |
$begingroup$
Here is a start:
$$mu = E(X) = int_{-1}^1 xf(x),dx = int_{-1}^0 x(1/3),dx
+ int_0^1 x(2/3),dx = dots,.$$
Find $E(X^2)$ similarly, and use $Var(X) = E(X^2) - mu^2.$
$endgroup$
$begingroup$
Thank you already! So, then $$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$ and $$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$ Is this correct?
$endgroup$
– Severin Linder
Sep 24 '17 at 17:30
add a comment |
$begingroup$
Here is a start:
$$mu = E(X) = int_{-1}^1 xf(x),dx = int_{-1}^0 x(1/3),dx
+ int_0^1 x(2/3),dx = dots,.$$
Find $E(X^2)$ similarly, and use $Var(X) = E(X^2) - mu^2.$
$endgroup$
Here is a start:
$$mu = E(X) = int_{-1}^1 xf(x),dx = int_{-1}^0 x(1/3),dx
+ int_0^1 x(2/3),dx = dots,.$$
Find $E(X^2)$ similarly, and use $Var(X) = E(X^2) - mu^2.$
answered Sep 24 '17 at 6:12
BruceETBruceET
35.7k71440
35.7k71440
$begingroup$
Thank you already! So, then $$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$ and $$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$ Is this correct?
$endgroup$
– Severin Linder
Sep 24 '17 at 17:30
add a comment |
$begingroup$
Thank you already! So, then $$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$ and $$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$ Is this correct?
$endgroup$
– Severin Linder
Sep 24 '17 at 17:30
$begingroup$
Thank you already! So, then $$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$ and $$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$ Is this correct?
$endgroup$
– Severin Linder
Sep 24 '17 at 17:30
$begingroup$
Thank you already! So, then $$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$ and $$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$ Is this correct?
$endgroup$
– Severin Linder
Sep 24 '17 at 17:30
add a comment |
$begingroup$
Thank you already!
So, then
$$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$
and
$$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$
Is this correct?
$endgroup$
add a comment |
$begingroup$
Thank you already!
So, then
$$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$
and
$$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$
Is this correct?
$endgroup$
add a comment |
$begingroup$
Thank you already!
So, then
$$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$
and
$$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$
Is this correct?
$endgroup$
Thank you already!
So, then
$$mu=E[X]=int_{-1}^0x(1/3)dx + int_0^1x(2/3)dx = (0-{1over6})+({1over3}-0)={1over6}$$
and
$$Var[X]=int_{-1}^0x^2(1/3)dx + int_0^1x^2(2/3)dx - mu^2=(0+{1over9})+({2over9}-0)-({1over6})^2={11over36}$$
Is this correct?
answered Sep 24 '17 at 17:29
Severin LinderSeverin Linder
6
6
add a comment |
add a comment |
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1
$begingroup$
Perhaps we could be more helpful if you explained how your got $1/6,$ and why you think it is wrong.
$endgroup$
– BruceET
Sep 24 '17 at 6:07
$begingroup$
What about applying the formula for of E(X) in terms of the PDF?
$endgroup$
– Did
Sep 24 '17 at 18:22