document.write( "Question 928151: Hello,\r
\n" );
document.write( "\n" );
document.write( "I am working on the following statistics problem:
\n" );
document.write( "Using the following cannabis abuse treatment distribution, please compute the decision rule value and the Chi-Square value. Then draw your conclusion.\r
\n" );
document.write( "\n" );
document.write( " Heavy Use, Recreational Use, No Use
\n" );
document.write( "Treatment 15, 15, 45
\n" );
document.write( "No Treatment 50, 15, 10\r
\n" );
document.write( "\n" );
document.write( "Below is what I've started with, but not sure if I'm on the right track?
\n" );
document.write( "1. Set up hypotheses: Ho: There is no difference between cannabis use in the treatment and no treatment groups. (Ho µ=µo)\r
\n" );
document.write( "\n" );
document.write( "H1: There is a difference between the cannabis use in the treatment vs. no treatment groups. (H1 µ ≠ µo)
\n" );
document.write( " *Alpha= 0.05\r
\n" );
document.write( "\n" );
document.write( "2. Select Appropriate test: Both variables are categorical; use Chi-Square test of independence\r
\n" );
document.write( "\n" );
document.write( "3. Degrees of freedom= rows-1 x columns-1= 1 * 2= 2; critical x²= 5.99; reject Ho if x² ≥ 5.99; fail to reject Ho if x²<5.99\r
\n" );
document.write( "\n" );
document.write( "4. Test statistic: O= observed, E= expected; (O-E); (O-E) ²/E: \r
\n" );
document.write( "\n" );
document.write( "Your help is greatly appreciated.\r
\n" );
document.write( "\n" );
document.write( "Thank you,
\n" );
document.write( "Jillian
\n" );
document.write( " \n" );
document.write( "
Algebra.Com's Answer #563503 by stanbon(75887)![]() ![]() ![]() You can put this solution on YOUR website! I am working on the following statistics problem: \n" ); document.write( "Using the following cannabis abuse treatment distribution, please compute the decision rule value and the Chi-Square value. Then draw your conclusion.\r \n" ); document.write( "\n" ); document.write( " Heavy Use, Recreational Use, No Use \n" ); document.write( "Treatment 15, 15, 45 \n" ); document.write( "No Treatment 50, 15, 10\r \n" ); document.write( "\n" ); document.write( "Ho: Row and Column factors are independent \n" ); document.write( "H1: Row and Column factos are dependent \n" ); document.write( " *Alpha= 0.05\r \n" ); document.write( "\n" ); document.write( "2. Select Appropriate test: Both variables are categorical; use Chi-Square test of independence \n" ); document.write( "----- \n" ); document.write( "I ran a Chi-Sq Test on the DATA and got the following:: \n" ); document.write( "test stat:: Chi-Sq = 1.12 \n" ); document.write( "p-value = 1.18*10^-9 \n" ); document.write( "degrees of freedom:: (2-1)(3-1) = 2 \n" ); document.write( "------- \n" ); document.write( "Conclusion: Since the p-value is less than 5%, reject Ho. \n" ); document.write( "The row and column factors are dependent. \n" ); document.write( "------------ \n" ); document.write( "Cheers, \n" ); document.write( "Stan H. \n" ); document.write( "------\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |