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    <title>topic Re: Can you use the Equivalence of means sample size calculator for attribute data? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Can-you-use-the-Equivalence-of-means-sample-size-calculator-for/m-p/802667#M97930</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/58232"&gt;@SerialDeviation&lt;/a&gt;&amp;nbsp;: It might help to put the problem in the framework of hypotheses testing.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Suppose p1 is the failure rate for the old part, and p2 is the failure rate for the new part.&amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Do you want to "prove" p2-p1&amp;lt;0.10?&amp;nbsp; (i.e., and absolute difference of no more than 10%):&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If so, your null&amp;nbsp;and alternative hypotheses are:&lt;/P&gt;
&lt;P&gt;H0: p2-p1=0.1.&lt;/P&gt;
&lt;P&gt;Ha: p2-p1&amp;lt;0.1.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Then this is indeed an NI study,&amp;nbsp; you have to ask yourself some questions:&amp;nbsp;&lt;/P&gt;
&lt;P&gt;(1). Are the failure rates independent? i.e., does part 1 failing influence whether part 2 fails or not (or visa-versa)?&lt;/P&gt;
&lt;P&gt;(2). What information do you have about p1 and p2?&lt;/P&gt;
&lt;P&gt;(3). What is your desired Type 1 error rate?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Let's suppose the answer to (1 ) is yes (they are independent),&amp;nbsp; and you (2) expect the true proportions to be p1 = 0.1 and p2 = 0.19, and (3) Type 1 error rate (alpha) = 0.05.. Then you can use the "Power Explorer for Two Independent Sample Proportions" as shown below if you want 80% power:&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="MRB3855_0-1727699995911.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/68706iFE85E4B9E6A8348C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="MRB3855_0-1727699995911.png" alt="MRB3855_0-1727699995911.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;More here:&amp;nbsp;&lt;A href="https://www.jmp.com/support/help/en/18.0/index.shtml#page/jmp/power-for-two-independent-sample-proportions.shtml" target="_blank" rel="noopener"&gt;https://www.jmp.com/support/help/en/18.0/index.shtml#page/jmp/power-for-two-independent-sample-proportions.shtml&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If, however, your alternative&amp;nbsp; (the thing you want to "prove") is:&lt;/P&gt;
&lt;P&gt;Ha: p2/p1&amp;lt;1.1 then that is a different animal (that is a &lt;EM&gt;relative&lt;/EM&gt; difference of 10%).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 30 Sep 2024 12:54:20 GMT</pubDate>
    <dc:creator>MRB3855</dc:creator>
    <dc:date>2024-09-30T12:54:20Z</dc:date>
    <item>
      <title>Can you use the Equivalence of means sample size calculator for attribute data?</title>
      <link>https://community.jmp.com/t5/Discussions/Can-you-use-the-Equivalence-of-means-sample-size-calculator-for/m-p/769113#M97914</link>
      <description>&lt;P&gt;Hi,&amp;nbsp; Maybe i'm using the wrong type of test..but I would like to generate a sample size to compare two parts.&amp;nbsp; The test is an attribute test and I just want to verify the new part doesn't increase the failures by more than 10%.&amp;nbsp; This seemed like a non inferiority test when I first thought about it but playing around with the calculator, it seems like it's more of a test for variable data.&amp;nbsp; Am I just thinking about the wrong test or is there a way to adapt the calculator for attribute data?&amp;nbsp; Thanks&lt;/P&gt;</description>
      <pubDate>Fri, 28 Jun 2024 03:34:44 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Can-you-use-the-Equivalence-of-means-sample-size-calculator-for/m-p/769113#M97914</guid>
      <dc:creator>SerialDeviation</dc:creator>
      <dc:date>2024-06-28T03:34:44Z</dc:date>
    </item>
    <item>
      <title>Re: Can you use the Equivalence of means sample size calculator for attribute data?</title>
      <link>https://community.jmp.com/t5/Discussions/Can-you-use-the-Equivalence-of-means-sample-size-calculator-for/m-p/802667#M97930</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/58232"&gt;@SerialDeviation&lt;/a&gt;&amp;nbsp;: It might help to put the problem in the framework of hypotheses testing.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Suppose p1 is the failure rate for the old part, and p2 is the failure rate for the new part.&amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Do you want to "prove" p2-p1&amp;lt;0.10?&amp;nbsp; (i.e., and absolute difference of no more than 10%):&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If so, your null&amp;nbsp;and alternative hypotheses are:&lt;/P&gt;
&lt;P&gt;H0: p2-p1=0.1.&lt;/P&gt;
&lt;P&gt;Ha: p2-p1&amp;lt;0.1.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Then this is indeed an NI study,&amp;nbsp; you have to ask yourself some questions:&amp;nbsp;&lt;/P&gt;
&lt;P&gt;(1). Are the failure rates independent? i.e., does part 1 failing influence whether part 2 fails or not (or visa-versa)?&lt;/P&gt;
&lt;P&gt;(2). What information do you have about p1 and p2?&lt;/P&gt;
&lt;P&gt;(3). What is your desired Type 1 error rate?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Let's suppose the answer to (1 ) is yes (they are independent),&amp;nbsp; and you (2) expect the true proportions to be p1 = 0.1 and p2 = 0.19, and (3) Type 1 error rate (alpha) = 0.05.. Then you can use the "Power Explorer for Two Independent Sample Proportions" as shown below if you want 80% power:&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="MRB3855_0-1727699995911.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/68706iFE85E4B9E6A8348C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="MRB3855_0-1727699995911.png" alt="MRB3855_0-1727699995911.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;More here:&amp;nbsp;&lt;A href="https://www.jmp.com/support/help/en/18.0/index.shtml#page/jmp/power-for-two-independent-sample-proportions.shtml" target="_blank" rel="noopener"&gt;https://www.jmp.com/support/help/en/18.0/index.shtml#page/jmp/power-for-two-independent-sample-proportions.shtml&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If, however, your alternative&amp;nbsp; (the thing you want to "prove") is:&lt;/P&gt;
&lt;P&gt;Ha: p2/p1&amp;lt;1.1 then that is a different animal (that is a &lt;EM&gt;relative&lt;/EM&gt; difference of 10%).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 30 Sep 2024 12:54:20 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Can-you-use-the-Equivalence-of-means-sample-size-calculator-for/m-p/802667#M97930</guid>
      <dc:creator>MRB3855</dc:creator>
      <dc:date>2024-09-30T12:54:20Z</dc:date>
    </item>
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