document.write( "Question 1192041: When one changes the significance level of a hypothesis test from 0.10 to 0.05, which of the following will happen? Check all that apply.\r
\n" );
document.write( "\n" );
document.write( "A. The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis).\r
\n" );
document.write( "\n" );
document.write( "B. It becomes easier to prove that the null hypothesis is true.\r
\n" );
document.write( "\n" );
document.write( "C. The chance of committing a Type II error changes from 0.10 to 0.05.\r
\n" );
document.write( "\n" );
document.write( "D. The chance of committing a Type I error changes from 0.10 to 0.05.\r
\n" );
document.write( "\n" );
document.write( "E. The chance that the null hypothesis is true changes from 0.10 to 0.05.\r
\n" );
document.write( "\n" );
document.write( "F. It becomes harder to prove that the null hypothesis is true.\r
\n" );
document.write( "\n" );
document.write( "G. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis). \n" );
document.write( "
Algebra.Com's Answer #823936 by math_tutor2020(3817)![]() ![]() ![]() You can put this solution on YOUR website! \n" ); document.write( "Let's say we get a p-value of 0.07\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "At the alpha = 0.10 level, we would reject the null since the p-value is smaller than alpha.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "However, at the alpha = 0.05 level, we don't reject the null since now the p-value is larger than alpha.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "This example shows that lowering the alpha will make it harder to reject the null. This is when we fix the p-value to some constant.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Recall that alpha represents the probability of a type I error. This is the error that happens when you reject the null, but it turns out the null was true. \n" ); document.write( "Reducing the type I error means that it's harder to reject the null and we'd need more stringent proof (in the form of a smaller p-value) to be able to reject the null. \n" ); document.write( "The downside to this of course is when the alternative hypothesis is true and instead you commit a type II error. \r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Answers: \n" ); document.write( "Choice B \n" ); document.write( "Choice D \n" ); document.write( "Choice G \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " |