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Hypothesis Testing $X sim Exp(textmean =frac1theta)$: Rejection Region and Power Function
The 2019 Stack Overflow Developer Survey Results Are In
Unicorn Meta Zoo #1: Why another podcast?
Announcing the arrival of Valued Associate #679: Cesar ManaraCalculate significance level and power for exponential distributionHypothesis testing and confidence intervalHypothesis testing. Help verify and interpret the solution.Hypothesis testing: Problem in finding the power of the testNormal distribution: likelihood ratio and rejection region for estimating sigmaLikelihood Ratio Test: Uniform Distribution, Change of Inequality in Alternative HypothesisSolution verification for hypothesis testing and confidence interval problemConvergence of power function is hypothesis testingFinding the power function and show its convergenceCritical region (hypothesis testing) of minimum οrder σtatistic from shifted exponential distributionHow to find the critical value of a test given that the test statistic is derived from a normal distribution (and is an order statistic).
$begingroup$
I am working on a problem and I would like to have some advice. The following is the given information.
1), $X$ is exponential with mean $frac1theta$.
2), $H_0: theta =5$ vs $H_1: theta<5$
3), $alpha=.05$
and our goal is
a), Find the rejection region.
b), Find the power function and determine where it is maximized.
What I have tried so far is this.
Edited:
$$
Pr[X > k | theta = 5] = alpha$$
so
$$e^-k(5) = alpha$$
and
$$beginalign
k & = -frac15ln (alpha) \
& sim .599
endalign$$
So I am thinking that the rejection region is when the sample is greater than or equal to $.599 space$ .
Moving on,
$$beginalign
gamma(theta) & = Pr[X > .599|theta < 5] \
& = e^-.599 space theta
endalign$$
I am more used to using concrete numbers rather than theory, so I am not too confident if I am doing this right.
I would really appreciate any help.
statistics hypothesis-testing
$endgroup$
add a comment |
$begingroup$
I am working on a problem and I would like to have some advice. The following is the given information.
1), $X$ is exponential with mean $frac1theta$.
2), $H_0: theta =5$ vs $H_1: theta<5$
3), $alpha=.05$
and our goal is
a), Find the rejection region.
b), Find the power function and determine where it is maximized.
What I have tried so far is this.
Edited:
$$
Pr[X > k | theta = 5] = alpha$$
so
$$e^-k(5) = alpha$$
and
$$beginalign
k & = -frac15ln (alpha) \
& sim .599
endalign$$
So I am thinking that the rejection region is when the sample is greater than or equal to $.599 space$ .
Moving on,
$$beginalign
gamma(theta) & = Pr[X > .599|theta < 5] \
& = e^-.599 space theta
endalign$$
I am more used to using concrete numbers rather than theory, so I am not too confident if I am doing this right.
I would really appreciate any help.
statistics hypothesis-testing
$endgroup$
$begingroup$
The function $gamma(theta)=1-e^-0.0103theta$ is monotonically increasing in $theta$. And $gamma(0)=0$, in particular. So the closer $theta$ to 5, the larger power function is. It is meaningless and indicates that the rejection region is selected incorrectly: the great difference of hypothesis should provide large value of pover function, and not vice versa. Note that expected value of $X$ is reciprocal to $theta$. So the smaller $theta$, the greater should be $X$. So good rejection region should be $X>k$. For this case $sup gamma(theta) = gamma(0)$ although $theta>0$.
$endgroup$
– NCh
Apr 8 at 17:52
$begingroup$
Thank you for your comment. Does it look better now?
$endgroup$
– hyg17
Apr 8 at 20:46
$begingroup$
Yes, I like it better
$endgroup$
– NCh
Apr 9 at 1:46
$begingroup$
Perhaps see this Q&A or look at Wikipedia on exponential distribution.
$endgroup$
– BruceET
Apr 9 at 14:42
add a comment |
$begingroup$
I am working on a problem and I would like to have some advice. The following is the given information.
1), $X$ is exponential with mean $frac1theta$.
2), $H_0: theta =5$ vs $H_1: theta<5$
3), $alpha=.05$
and our goal is
a), Find the rejection region.
b), Find the power function and determine where it is maximized.
What I have tried so far is this.
Edited:
$$
Pr[X > k | theta = 5] = alpha$$
so
$$e^-k(5) = alpha$$
and
$$beginalign
k & = -frac15ln (alpha) \
& sim .599
endalign$$
So I am thinking that the rejection region is when the sample is greater than or equal to $.599 space$ .
Moving on,
$$beginalign
gamma(theta) & = Pr[X > .599|theta < 5] \
& = e^-.599 space theta
endalign$$
I am more used to using concrete numbers rather than theory, so I am not too confident if I am doing this right.
I would really appreciate any help.
statistics hypothesis-testing
$endgroup$
I am working on a problem and I would like to have some advice. The following is the given information.
1), $X$ is exponential with mean $frac1theta$.
2), $H_0: theta =5$ vs $H_1: theta<5$
3), $alpha=.05$
and our goal is
a), Find the rejection region.
b), Find the power function and determine where it is maximized.
What I have tried so far is this.
Edited:
$$
Pr[X > k | theta = 5] = alpha$$
so
$$e^-k(5) = alpha$$
and
$$beginalign
k & = -frac15ln (alpha) \
& sim .599
endalign$$
So I am thinking that the rejection region is when the sample is greater than or equal to $.599 space$ .
Moving on,
$$beginalign
gamma(theta) & = Pr[X > .599|theta < 5] \
& = e^-.599 space theta
endalign$$
I am more used to using concrete numbers rather than theory, so I am not too confident if I am doing this right.
I would really appreciate any help.
statistics hypothesis-testing
statistics hypothesis-testing
edited Apr 8 at 20:45
hyg17
asked Apr 8 at 7:31
hyg17hyg17
2,00422044
2,00422044
$begingroup$
The function $gamma(theta)=1-e^-0.0103theta$ is monotonically increasing in $theta$. And $gamma(0)=0$, in particular. So the closer $theta$ to 5, the larger power function is. It is meaningless and indicates that the rejection region is selected incorrectly: the great difference of hypothesis should provide large value of pover function, and not vice versa. Note that expected value of $X$ is reciprocal to $theta$. So the smaller $theta$, the greater should be $X$. So good rejection region should be $X>k$. For this case $sup gamma(theta) = gamma(0)$ although $theta>0$.
$endgroup$
– NCh
Apr 8 at 17:52
$begingroup$
Thank you for your comment. Does it look better now?
$endgroup$
– hyg17
Apr 8 at 20:46
$begingroup$
Yes, I like it better
$endgroup$
– NCh
Apr 9 at 1:46
$begingroup$
Perhaps see this Q&A or look at Wikipedia on exponential distribution.
$endgroup$
– BruceET
Apr 9 at 14:42
add a comment |
$begingroup$
The function $gamma(theta)=1-e^-0.0103theta$ is monotonically increasing in $theta$. And $gamma(0)=0$, in particular. So the closer $theta$ to 5, the larger power function is. It is meaningless and indicates that the rejection region is selected incorrectly: the great difference of hypothesis should provide large value of pover function, and not vice versa. Note that expected value of $X$ is reciprocal to $theta$. So the smaller $theta$, the greater should be $X$. So good rejection region should be $X>k$. For this case $sup gamma(theta) = gamma(0)$ although $theta>0$.
$endgroup$
– NCh
Apr 8 at 17:52
$begingroup$
Thank you for your comment. Does it look better now?
$endgroup$
– hyg17
Apr 8 at 20:46
$begingroup$
Yes, I like it better
$endgroup$
– NCh
Apr 9 at 1:46
$begingroup$
Perhaps see this Q&A or look at Wikipedia on exponential distribution.
$endgroup$
– BruceET
Apr 9 at 14:42
$begingroup$
The function $gamma(theta)=1-e^-0.0103theta$ is monotonically increasing in $theta$. And $gamma(0)=0$, in particular. So the closer $theta$ to 5, the larger power function is. It is meaningless and indicates that the rejection region is selected incorrectly: the great difference of hypothesis should provide large value of pover function, and not vice versa. Note that expected value of $X$ is reciprocal to $theta$. So the smaller $theta$, the greater should be $X$. So good rejection region should be $X>k$. For this case $sup gamma(theta) = gamma(0)$ although $theta>0$.
$endgroup$
– NCh
Apr 8 at 17:52
$begingroup$
The function $gamma(theta)=1-e^-0.0103theta$ is monotonically increasing in $theta$. And $gamma(0)=0$, in particular. So the closer $theta$ to 5, the larger power function is. It is meaningless and indicates that the rejection region is selected incorrectly: the great difference of hypothesis should provide large value of pover function, and not vice versa. Note that expected value of $X$ is reciprocal to $theta$. So the smaller $theta$, the greater should be $X$. So good rejection region should be $X>k$. For this case $sup gamma(theta) = gamma(0)$ although $theta>0$.
$endgroup$
– NCh
Apr 8 at 17:52
$begingroup$
Thank you for your comment. Does it look better now?
$endgroup$
– hyg17
Apr 8 at 20:46
$begingroup$
Thank you for your comment. Does it look better now?
$endgroup$
– hyg17
Apr 8 at 20:46
$begingroup$
Yes, I like it better
$endgroup$
– NCh
Apr 9 at 1:46
$begingroup$
Yes, I like it better
$endgroup$
– NCh
Apr 9 at 1:46
$begingroup$
Perhaps see this Q&A or look at Wikipedia on exponential distribution.
$endgroup$
– BruceET
Apr 9 at 14:42
$begingroup$
Perhaps see this Q&A or look at Wikipedia on exponential distribution.
$endgroup$
– BruceET
Apr 9 at 14:42
add a comment |
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$begingroup$
The function $gamma(theta)=1-e^-0.0103theta$ is monotonically increasing in $theta$. And $gamma(0)=0$, in particular. So the closer $theta$ to 5, the larger power function is. It is meaningless and indicates that the rejection region is selected incorrectly: the great difference of hypothesis should provide large value of pover function, and not vice versa. Note that expected value of $X$ is reciprocal to $theta$. So the smaller $theta$, the greater should be $X$. So good rejection region should be $X>k$. For this case $sup gamma(theta) = gamma(0)$ although $theta>0$.
$endgroup$
– NCh
Apr 8 at 17:52
$begingroup$
Thank you for your comment. Does it look better now?
$endgroup$
– hyg17
Apr 8 at 20:46
$begingroup$
Yes, I like it better
$endgroup$
– NCh
Apr 9 at 1:46
$begingroup$
Perhaps see this Q&A or look at Wikipedia on exponential distribution.
$endgroup$
– BruceET
Apr 9 at 14:42