Two tailed F test, correct rejection of the null hypothesis
$begingroup$
I am performing an F test for equality of two variances by following this website formula https://itl.nist.gov/div898/handbook/eda/section3/eda359.htm, however it states that
In the above formulas for the critical regions, the Handbook follows the convention that Fα is the upper critical value from the F distribution and F1-α is the lower critical value from the F distribution. Note that this is the opposite of the designation used by some texts and software programs.
What are currently considered the right upper and lower critical values?
In two textbooks I actually found the designation opposite to the one given by the website. However,
given two samples m,n of 5 and 4 respectively,
a = 0.05,
the critical values are:
F1-a/2(m-1,n-1) = F0.975(4,3) = 0.10
Fa/2(m-1,n-1) = F0.025(4,3) = 9.97
To my understanding, F0.025 is the left tail limit and F0.975 the right tail limit. If this is correct, why has the left tail limit a higher critical value than the other?
statistics variance
$endgroup$
add a comment |
$begingroup$
I am performing an F test for equality of two variances by following this website formula https://itl.nist.gov/div898/handbook/eda/section3/eda359.htm, however it states that
In the above formulas for the critical regions, the Handbook follows the convention that Fα is the upper critical value from the F distribution and F1-α is the lower critical value from the F distribution. Note that this is the opposite of the designation used by some texts and software programs.
What are currently considered the right upper and lower critical values?
In two textbooks I actually found the designation opposite to the one given by the website. However,
given two samples m,n of 5 and 4 respectively,
a = 0.05,
the critical values are:
F1-a/2(m-1,n-1) = F0.975(4,3) = 0.10
Fa/2(m-1,n-1) = F0.025(4,3) = 9.97
To my understanding, F0.025 is the left tail limit and F0.975 the right tail limit. If this is correct, why has the left tail limit a higher critical value than the other?
statistics variance
$endgroup$
add a comment |
$begingroup$
I am performing an F test for equality of two variances by following this website formula https://itl.nist.gov/div898/handbook/eda/section3/eda359.htm, however it states that
In the above formulas for the critical regions, the Handbook follows the convention that Fα is the upper critical value from the F distribution and F1-α is the lower critical value from the F distribution. Note that this is the opposite of the designation used by some texts and software programs.
What are currently considered the right upper and lower critical values?
In two textbooks I actually found the designation opposite to the one given by the website. However,
given two samples m,n of 5 and 4 respectively,
a = 0.05,
the critical values are:
F1-a/2(m-1,n-1) = F0.975(4,3) = 0.10
Fa/2(m-1,n-1) = F0.025(4,3) = 9.97
To my understanding, F0.025 is the left tail limit and F0.975 the right tail limit. If this is correct, why has the left tail limit a higher critical value than the other?
statistics variance
$endgroup$
I am performing an F test for equality of two variances by following this website formula https://itl.nist.gov/div898/handbook/eda/section3/eda359.htm, however it states that
In the above formulas for the critical regions, the Handbook follows the convention that Fα is the upper critical value from the F distribution and F1-α is the lower critical value from the F distribution. Note that this is the opposite of the designation used by some texts and software programs.
What are currently considered the right upper and lower critical values?
In two textbooks I actually found the designation opposite to the one given by the website. However,
given two samples m,n of 5 and 4 respectively,
a = 0.05,
the critical values are:
F1-a/2(m-1,n-1) = F0.975(4,3) = 0.10
Fa/2(m-1,n-1) = F0.025(4,3) = 9.97
To my understanding, F0.025 is the left tail limit and F0.975 the right tail limit. If this is correct, why has the left tail limit a higher critical value than the other?
statistics variance
statistics variance
edited 1 min ago
Camilla
asked 10 mins ago
CamillaCamilla
84
84
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f49557%2ftwo-tailed-f-test-correct-rejection-of-the-null-hypothesis%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f49557%2ftwo-tailed-f-test-correct-rejection-of-the-null-hypothesis%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown