Abstract <p>The main purpose of this paper is to perform the hypothesis tests of parameters <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq1.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(p\)</EquationSource> <!--LobJMat2560498Saad-m1--> </InlineEquation> and <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq2.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="18" /> </InlineMediaObject> <EquationSource Format="TEX">\(m\)</EquationSource> <!--LobJMat2560498Saad-m2--> </InlineEquation> (both are unknown) of the binomial distribution. Delta method and the moment generating function are used to derive the important statistic <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq3.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="66" /> </InlineMediaObject> <EquationSource Format="TEX">\(X^{2}_{2}(p,m)\)</EquationSource> <!--LobJMat2560498Saad-m3--> </InlineEquation> for the hypothesis testing based on its asymptotical distribution. The probability of type I error and the power of the test are calculated, which are the main parts of this research. For the hypothesis testing, we consider the null hypothesis <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq4.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(H_{0}\)</EquationSource> <!--LobJMat2560498Saad-m4--> </InlineEquation>: <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq5.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="47" /> </InlineMediaObject> <EquationSource Format="TEX">\(p=p_{0}\)</EquationSource> <!--LobJMat2560498Saad-m5--> </InlineEquation>, <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq6.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="59" /> </InlineMediaObject> <EquationSource Format="TEX">\(m=m_{0}\)</EquationSource> <!--LobJMat2560498Saad-m6--> </InlineEquation> with a significant level <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq7.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="63" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha=0.05\)</EquationSource> <!--LobJMat2560498Saad-m7--> </InlineEquation>. The 3-D figures of the type I error and the power of the test are used to test of the null hypothesis <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12202_2025_8204_Article_IEq4.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(H_{0}\)</EquationSource> <!--LobJMat2560498Saad-m8--> </InlineEquation>.</p>

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On the Hypothesis Testing Procedure for Both Parameters of the Binomial Distribution

  • Salma Saad,
  • Naeima Ashleik,
  • Naeima N. Abd Elati,
  • Kamilah A. Othman

摘要

Abstract

The main purpose of this paper is to perform the hypothesis tests of parameters \(p\) and \(m\) (both are unknown) of the binomial distribution. Delta method and the moment generating function are used to derive the important statistic \(X^{2}_{2}(p,m)\) for the hypothesis testing based on its asymptotical distribution. The probability of type I error and the power of the test are calculated, which are the main parts of this research. For the hypothesis testing, we consider the null hypothesis \(H_{0}\) : \(p=p_{0}\) , \(m=m_{0}\) with a significant level \(\alpha=0.05\) . The 3-D figures of the type I error and the power of the test are used to test of the null hypothesis \(H_{0}\) .