Question 190142: 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.
1.A 2.B 3.D 4.B 5.B 6.D 7.D 8.D 9.C 10.A
11.A 12.B 13.D 14.A 15.C 16.D 17.D 18.D 19.C 20.A
Here's the problems
1.In a one-tailed test
A.The rejection region is in one of the tails.
B.The rejection region is split between the tails.
C.The p-value is always less than the significance level.
D.The p-value is always more than the significance level.
2.To conduct a one sample test of means and use the z distribution as the test statistic
A.We need to know the population standard deviation.
B.We can use the sample standard deviation provided n is at least 30.
C.We need n to be at least 5.
D.Both a and b are correct.
3.Which of the following statements are correct when deciding whether to use the z or the t distribution
A.Use z when the sample size is 30 or more.
B.Use z when we have a normal population and know the standard deviation.
C.Use t when the population is normal, the population standard deviation is not known, and n is less than 30.
D.All of the above statements are correct.
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?
A.Normal populations
B.Equal population standard deviations
C.Equal sample sizes
D.All of the above are required.
5.To conduct a test of means for two independent samples which of the following are always required?
A.At least one of the samples must have 30 observations
B.Both samples must have 30 observations
C.n and n (1 - ) must be 5.
D.None of the above.
6.The term MSE
A.Is called the mean square error.
B.Is found by SSE/(n - k).
C.Is an estimate of the common population variance.
D.All of the above.
7.Which of the following is not an assumption required for ANOVA?
A.The populations are normally distributed
B.The populations have equal standard deviations
C.The samples are independent.
D.None of the above.
8.Under which of the following conditions will the computed value of F be negative?
A.When there is no difference in the treatment means
B.When there is no difference in the block means
C.When the SS total is larger than SST.
D.F cannot be negative.
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
or minus 12. We conclude
A.This pair of means differ.
B.This pair of means does not differ.
C.Because we do not know the units involved, we cannot draw any conclusion.
D.Because we do not know the degrees of freedom, we cannot draw any conclusion.
10.In a two-way ANOVA the second source of variation is due to
A.Random error.
B.Blocks.
C.Total variation
D.None of the above
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?
A.3
B.8
C.399
D.None of the above.
12.For a 2 goodness-of-fit test
A.There is only one degree of freedom.
B.The rejection region is in the upper right tail.
C.The scale of measurement is interval.
D.We must assume a normal population.
13.To find the expected frequency in a contingency table
A.Take the square root of the degrees of freedom.
B.Multiple the row and column totals and divide by the grand total.
C.Use the total number of observations minus one.
D.None of these.
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?
A.5
B.97
C.3
D.None of these.
15.Under what conditions could the 2 distribution assume negative values?
A.When the sample size is small.
B.When the cell frequencies are all equal.
C.When the degrees of freedom is 1.
D.Never
16.A scatter diagram is a chart
A.In which the dependent variable is scaled along the vertical axis.
B.In which the independent variable is scaled along the horizontal axis.
C.That portrays the relationship between two variables.
D.All of the above.
17.In correlation analysis
A.We consider several independent variables.
B.We study the strength of the association between two variables.
C.We consider the intercept with the Y-axis.
D.None of the above.
18.The sample coefficient of correlation
A.Has the same sign as the slope, i.e. b.
B.Can range from -1.00 up to 1.00
C.Is also called Pearson's r.
D.All of the above.
19.The coefficient of determination
A.Is the square of the coefficient of correlation.
B.Cannot be negative.
C.Reports the percent of the variation in the dependent variable explained by the independent variable.
D.All of the above.
20.Suppose we developed the following least squares regression equation: Y' = 3.5 +2.1 . Which of the following statement is correct?
A.The dependent variable increases 2.1 for an increase of 1 in .
B.The equation crosses the Y-axis at 3.5.
C.If = 5, then Y' = 14.
D.All of the above.
Answer by stanbon(75887)   (Show Source):
You can put this solution on YOUR website! 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.
1.A 2.B 3.D 4.B 5.B 6.D 7.D 8.D 9.C 10.A
11.A 12.B 13.D 14.A 15.C 16.D 17.D 18.D 19.C 20.A
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Not all texts agree on some of these answers. You
will have to check your text to see what position
it takes.
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Text-dependent answers: 2,3,6,17
Maybe-wrong answers:::: 5,7,19,20
Other:::::::::::I agree with you
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Note on # 20: You left out the independent variable.
I assume the equation was y = 3.5 + 2.1X
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Cheers,
Stan H.
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