Week 4 Quiz 3 In Tutorial Library

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TITLE: Week 4 Quiz 3

CLASS / COURSE: RES342

QUESTION DESCRIPTION:

Quiz # 3, Week 4, RES 342

  1. Ho U1 = U2 = U3 is an example of a null hypothesis problem which uses which statistic
    1. Chi Square
    2. Analysis of Variance
    3. Z test
    4. T test
  1. T/F.  If we reject the Null Hypothesis in Question 1, we’ve determined the reason why they aren’t equal.
  1. The basic strategy of ANOVA is to:
    1. Estimate the variation 2 ways and find their ratios.  If the ratio = 1.0, then the variations are different and we reject the Null Hypothesis.
    2. Estimate the variation 2 ways and find their ratios.  If the ratio = 1.0, then the variations are the same and we fail to reject the Null Hypothesis.
    3. Calculate their variations and divide by n-2.  If the quotient is >1.0, then the variations are different and we reject the Null Hypothesis.
    4.  Calculate their variations and divide by n-2.  If the quotient is less than or =1.0, then the variations are the same and we fail to reject the Null Hypothesis.
  1. T/F The F distribution is used to test whether two samples are from populations having equal variances.
  1. The names of three potential presidential candidates, Smith, Jones and Green, were presented to a focus group to determine the preferences of voters.  The null hypothesis would be:
    1. There is no preference among the candidates
    2. There are definite preferences among the candidates
    3. Green is preferred over the other two.
    4. More degrees of freedom are required
  1. Which of the following assumptions are required for ANOVA?
    1. Each population is normally distributed
    2. The populations have equal variances
    3. The errors are both random and independent
    4. All of the above.
  1. When would we not use Contingency Table Analysis:
    1. To compare performance of staff in a department using qualitative variables
    2. To determine if a new product compares favorably in customer preference surveys.
    3. To compare to samples of the same population before and after an intervening event to see if the population parameters have changed.
    4. There are at least twenty observations in the sample in a two variable contingency table.
  1. In a contingency table with 4 rows and 3 columns, the degrees of freedom to use is:
    1. 4
    2. 5
    3. 6
    4. 7
  2. T/F  The test of whether two variables are related results  in an ANOVA table.
  1. T/F To figure out the degrees of freedom in an ANOVA table, we take n-k degrees of freedom in the numerator, and k-1 degrees of freedom in the denominator. 

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SUBJECTS / CATEGORIES:
1. Business Statistics
2. Statistics

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