document.write( "<A HREF=/cgi-bin/jump-to-question.mpl?question=1118134>Question 1118134</A>: <I><SPAN STYLE=\"word-break: break-all;\"> The P-Value in your data output is ___________\r<BR>\n" );
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document.write( "a)The probability that you have a Type I error in your data\r<BR>\n" );
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document.write( "b)the alpha\r<BR>\n" );
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document.write( "c)the critical value\r<BR>\n" );
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document.write( "d)both the probability that you have a Type I error in your data and the alpha\r<BR>\n" );
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document.write( ": When you are computing a one-sample t-test, you are comparing the mean of your sample with the mean of the population.<BR>\n" );
document.write( "	a) True			b) False	\r<BR>\n" );
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document.write( "When you find a significant difference between the means, it is important to explain that difference in the formal report.\r<BR>\n" );
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document.write( "	a) True			b) False	<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 #733490 by </B><A HREF=/tutors/aboutme.mpl?userid=Boreal><B>Boreal(15235)</B></A><img src=\"/images/stars/stars-13.gif\" alt=\"\" >&nbsp;<A HREF=/tutors/aboutme.mpl?userid=Boreal><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/cgi-bin/show-face.mpl?user=Boreal><BR>You can <A HREF=\"/cgi-bin/embed-solution.mpl?show=1&solution=733490\">put this solution on YOUR website!</A><BR><SPAN STYLE=\"word-break: break-all;\"> alpha={probability reject Ho|Ho is true}, and that is fixed at the start.  We use alpha to compare the p-value to.<BR>\n" );
document.write( "This is a Type I error.  If the p-value is 0.1, that means that we would get a result this extreme or more so in 10% of the trials assuming that there is no change. That would be a Type I error.<BR>\n" );
document.write( "Critical values are of the test statistic and allow calculation of the p-value.\r<BR>\n" );
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document.write( "A one sample t-test does compare the mean of the sample to the mean of a population, which may not be known but is hypothesized.  True/False is difficult here, because there are important assumptions, but this is basically true.<BR>\n" );
document.write( "The last is true. </SPAN>\n" );
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