document.write( "<A HREF=/cgi-bin/jump-to-question.mpl?question=1157885>Question 1157885</A>: <I><SPAN STYLE=\"word-break: break-all;\"> The dean of a university estimates that the mean number of classroom hours per week for​ full-time faculty is 11.0. As a member of the student​ council, you want to test this claim. A random sample of the number of classroom hours for eight​ full-time faculty for one week is shown in the table below. At alphaequals0.10​, can you reject the​ dean's claim? Complete parts​ (a) through​ (d) below. Assume the population is normally distributed.\r<BR>\n" );
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document.write( "11.7      8.8        13.1          7.2           5.6       9.2     12.3        9.9<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 #780807 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=780807\">put this solution on YOUR website!</A><BR><SPAN STYLE=\"word-break: break-all;\"> Assume also that s for the sample can be used for sigma of the distribution.<BR>\n" );
document.write( "Can get 1-var stats for this <BR>\n" );
document.write( "mean is 9.725<BR>\n" );
document.write( "s=2.58\r<BR>\n" );
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document.write( "can put directly into calculator and use 1 sample t<BR>\n" );
document.write( "This gives a test statistic of t=-1.40 a p-value of 0.20 and fail to reject Ho at the 0.10 level\r<BR>\n" );
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document.write( "or can do by hand'<BR>\n" );
document.write( "t=(x bar-mean)/s/sqrt(n)<BR>\n" );
document.write( "=-(1.275)*sqrt(8)/2.58<BR>\n" );
document.write( "=-1.40\r<BR>\n" );
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document.write( "While this is -.10 away from the left tail, this is a two way test, so both tails have to be counted in the p-value. </SPAN>\n" );
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