document.write( "<A HREF=/cgi-bin/jump-to-question.mpl?question=190142>Question 190142</A>: <I><SPAN STYLE=\"word-break: break-all;\"> I'm working on some multiple choice problems and I'm a little stumped on them. Here's what I've come up with, if someone could tell me if I've got them or if not what is right so I know.<BR>\n" );
document.write( "1.A    2.B    3.D    4.B    5.B    6.D    7.D    8.D    9.C    10.A<BR>\n" );
document.write( "11.A   12.B   13.D   14.A   15.C   16.D   17.D   18.D   19.C   20.A\r<BR>\n" );
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document.write( "Here's the problems<BR>\n" );
document.write( "1.In a one-tailed test<BR>\n" );
document.write( " A.The rejection region is in one of the tails.<BR>\n" );
document.write( " B.The rejection region is split between the tails.<BR>\n" );
document.write( " C.The p-value is always less than the significance level.<BR>\n" );
document.write( " D.The p-value is always more than the significance level.\r<BR>\n" );
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document.write( "2.To conduct a one sample test of means and use the z distribution as the test statistic<BR>\n" );
document.write( " A.We need to know the population standard deviation.<BR>\n" );
document.write( " B.We can use the sample standard deviation provided n is at least 30.<BR>\n" );
document.write( " C.We need n&#61552; to be at least 5.<BR>\n" );
document.write( " D.Both a and b are correct.\r<BR>\n" );
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document.write( "3.Which of the following statements are correct when deciding whether to use the z or the t distribution<BR>\n" );
document.write( " A.Use z when the sample size is 30 or more.<BR>\n" );
document.write( " B.Use z when we have a normal population and know the standard deviation.<BR>\n" );
document.write( " C.Use t when the population is normal, the population standard deviation is not known, and n is less than 30.<BR>\n" );
document.write( " D.All of the above statements are correct.\r<BR>\n" );
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document.write( "4.Which of the following is not a requirement for the two-sample test of means for independent samples when both samples contain less than 30 observations?<BR>\n" );
document.write( " A.Normal populations<BR>\n" );
document.write( " B.Equal population standard deviations<BR>\n" );
document.write( " C.Equal sample sizes<BR>\n" );
document.write( " D.All of the above are required.\r<BR>\n" );
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document.write( "5.To conduct a test of means for two independent samples which of the following are always required?<BR>\n" );
document.write( " A.At least one of the samples must have 30 observations<BR>\n" );
document.write( " B.Both samples must have 30 observations<BR>\n" );
document.write( " C.n&#61552; and n (1 - &#61552;) must be 5.<BR>\n" );
document.write( " D.None of the above.\r<BR>\n" );
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document.write( "6.The term MSE <BR>\n" );
document.write( " A.Is called the mean square error.<BR>\n" );
document.write( " B.Is found by SSE/(n - k).<BR>\n" );
document.write( " C.Is an estimate of the common population variance.<BR>\n" );
document.write( " D.All of the above.\r<BR>\n" );
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document.write( "7.Which of the following is not an assumption required for ANOVA?<BR>\n" );
document.write( " A.The populations are normally distributed<BR>\n" );
document.write( " B.The populations have equal standard deviations<BR>\n" );
document.write( " C.The samples are independent.<BR>\n" );
document.write( " D.None of the above.\r<BR>\n" );
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document.write( "8.Under which of the following conditions will the computed value of F be negative?<BR>\n" );
document.write( " A.When there is no difference in the treatment means<BR>\n" );
document.write( " B.When there is no difference in the block means<BR>\n" );
document.write( " C.When the SS total is larger than SST.<BR>\n" );
document.write( " D.F cannot be negative.\r<BR>\n" );
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document.write( "9.Suppose we conduct an ANOVA test of four treatment means and reject the null hypothesis. Construction of a confidence interval for the difference between the first and second sample mean revealed the interval to be 10 plus <BR>\n" );
document.write( "or minus 12. We conclude<BR>\n" );
document.write( " A.This pair of means differ.<BR>\n" );
document.write( " B.This pair of means does not differ.<BR>\n" );
document.write( " C.Because we do not know the units involved, we cannot draw any conclusion.<BR>\n" );
document.write( " D.Because we do not know the degrees of freedom, we cannot draw any conclusion.\r<BR>\n" );
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document.write( "10.In a two-way ANOVA the second source of variation is due to<BR>\n" );
document.write( " A.Random error.<BR>\n" );
document.write( " B.Blocks.<BR>\n" );
document.write( " C.Total variation<BR>\n" );
document.write( " D.None of the above\r<BR>\n" );
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document.write( "11.In a contingency table a sample of 400 people is classified by gender and hair color (4 groups: blond, brown, black, and red). How many degrees of freedom are there?<BR>\n" );
document.write( " A.3<BR>\n" );
document.write( " B.8<BR>\n" );
document.write( " C.399<BR>\n" );
document.write( " D.None of the above.\r<BR>\n" );
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document.write( "12.For a &#61539;2 goodness-of-fit test<BR>\n" );
document.write( " A.There is only one degree of freedom.<BR>\n" );
document.write( " B.The rejection region is in the upper right tail.<BR>\n" );
document.write( " C.The scale of measurement is interval.<BR>\n" );
document.write( " D.We must assume a normal population.\r<BR>\n" );
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document.write( "13.To find the expected frequency in a contingency table<BR>\n" );
document.write( " A.Take the square root of the degrees of freedom.<BR>\n" );
document.write( " B.Multiple the row and column totals and divide by the grand total.<BR>\n" );
document.write( " C.Use the total number of observations minus one.<BR>\n" );
document.write( " D.None of these.\r<BR>\n" );
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document.write( "14.Suppose we are conducting a Chi-Square Goodness of Fit test of hypothesis to determine if a set of observations with 6 categories meets an expected set. How many degrees of freedom are there?<BR>\n" );
document.write( " A.5<BR>\n" );
document.write( " B.97<BR>\n" );
document.write( " C.3<BR>\n" );
document.write( " D.None of these.\r<BR>\n" );
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document.write( "15.Under what conditions could the &#61539;2 distribution assume negative values?<BR>\n" );
document.write( " A.When the sample size is small.<BR>\n" );
document.write( " B.When the cell frequencies are all equal.<BR>\n" );
document.write( " C.When the degrees of freedom is 1.<BR>\n" );
document.write( " D.Never\r<BR>\n" );
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document.write( "16.A scatter diagram is a chart<BR>\n" );
document.write( " A.In which the dependent variable is scaled along the vertical axis.<BR>\n" );
document.write( " B.In which the independent variable is scaled along the horizontal axis.<BR>\n" );
document.write( " C.That portrays the relationship between two variables.<BR>\n" );
document.write( " D.All of the above.\r<BR>\n" );
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document.write( "17.In correlation analysis<BR>\n" );
document.write( " A.We consider several independent variables.<BR>\n" );
document.write( " B.We study the strength of the association between two variables.<BR>\n" );
document.write( " C.We consider the intercept with the Y-axis.<BR>\n" );
document.write( " D.None of the above.\r<BR>\n" );
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document.write( "18.The sample coefficient of correlation<BR>\n" );
document.write( " A.Has the same sign as the slope, i.e. b. <BR>\n" );
document.write( " B.Can range from -1.00 up to 1.00<BR>\n" );
document.write( " C.Is also called Pearson's r.<BR>\n" );
document.write( " D.All of the above.\r<BR>\n" );
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document.write( "19.The coefficient of determination<BR>\n" );
document.write( " A.Is the square of the coefficient of correlation.<BR>\n" );
document.write( " B.Cannot be negative.<BR>\n" );
document.write( " C.Reports the percent of the variation in the dependent variable explained by the independent variable.<BR>\n" );
document.write( " D.All of the above.\r<BR>\n" );
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document.write( "20.Suppose we developed the following least squares regression equation: Y' = 3.5 +2.1 . Which of the following statement is correct?<BR>\n" );
document.write( " A.The dependent variable increases 2.1 for an increase of 1 in  . <BR>\n" );
document.write( " B.The equation crosses the Y-axis at 3.5.<BR>\n" );
document.write( " C.If  = 5, then Y' = 14.<BR>\n" );
document.write( " D.All of the above.\r<BR>\n" );
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document.write( " </SPAN>\n" );
document.write( "</I><HR><TABLE width=100%><TR><TD><B><A HREF=http://www.algebra.com/>Algebra.Com's</A> Answer #143077 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=143077\">put this solution on YOUR website!</A><BR><SPAN STYLE=\"word-break: break-all;\"> I'm working on some multiple choice problems and I'm a little stumped on them. Here's what I've come up with, if someone could tell me if I've got them or if not what is right so I know.<BR>\n" );
document.write( "1.A 2.B 3.D 4.B 5.B 6.D 7.D 8.D 9.C 10.A<BR>\n" );
document.write( "11.A 12.B 13.D 14.A 15.C 16.D 17.D 18.D 19.C 20.A <BR>\n" );
document.write( "------------------------------<BR>\n" );
document.write( "Not all texts agree on some of these answers.  You<BR>\n" );
document.write( "will have to check your text to see what position<BR>\n" );
document.write( "it takes.<BR>\n" );
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document.write( "Text-dependent answers: 2,3,6,17<BR>\n" );
document.write( "Maybe-wrong answers:::: 5,7,19,20<BR>\n" );
document.write( "Other:::::::::::I agree with you<BR>\n" );
document.write( "---<BR>\n" );
document.write( "Note on # 20:  You left out the independent variable.<BR>\n" );
document.write( "I assume the equation was y = 3.5 + 2.1X<BR>\n" );
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document.write( "Cheers,<BR>\n" );
document.write( "Stan H. </SPAN>\n" );
document.write( "</TD></TR></TABLE>\n" );