document.write( "<A HREF=/cgi-bin/jump-to-question.mpl?question=138369>Question 138369</A>: <I><SPAN STYLE=\"word-break: break-all;\"> If the two samples are not independent, their population means can still be compared using the ____________ statistic.\r<BR>\n" );
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document.write( "      a.       paired t<BR>\n" );
document.write( "       b.       Z<BR>\n" );
document.write( "       c.       F<BR>\n" );
document.write( "       d.       chi-square<BR>\n" );
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document.write( "</I><HR><TABLE width=100%><TR><TD><B><A HREF=http://www.algebra.com/>Algebra.Com's</A> Answer #101041 by </B><A HREF=/tutors/aboutme.mpl?userid=stanbon><B>stanbon(75887)</B></A><img src=\"/images/stars/stars-13.gif\" alt=\"\" >&nbsp;<A HREF=/tutors/aboutme.mpl?userid=stanbon><IMG SRC=http://www.algebra.com/images/aboutme-small.gif BORDER=0 alt=\"About Me\" VALIGN=MIDDLE></A>&nbsp;<IMG SRC=http://www.algebra.com/images/nopicture.jpg><BR>You can <A HREF=\"/cgi-bin/embed-solution.mpl?show=1&solution=101041\">put this solution on YOUR website!</A><BR><SPAN STYLE=\"word-break: break-all;\"> If the sets are dependent use a paired-t test.<BR>\n" );
document.write( "Cheers,<BR>\n" );
document.write( "Stan H. </SPAN>\n" );
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