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Jess keeps getting these wrong

Jessica Whittick 8 preguntas

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Preguntas del test (8)

  1. 1With regard to the model diagnostic called the Leverage value, what defines whether or not the data point is worth investigating?
    1. Aif >2(n+1)/k where k = number of predictors (1 for simple linear regression) and n = number of data points
    2. Bif >2(k+1)/n where k = number of predictors (2 for simple linear regression) and n = number of data points
    3. Cif >2(k+1)/n where k = number of predictors (1 for simple linear regression) and n = number of data points
    4. Dif >2(K+1)/n where k = number of data points and n = number of predictors (1 for simple linear regression)
    5. Eif >n(k+1)/2 where k = number of predictors (1 for simple linear regression) and n = number of data points
  2. 2How do you interpret the variance inflation factor (VIF) when assessing multicolinearity?
    1. AA VIF > 5 or an avereage VIF > 2 is problematic
    2. BA VIF > 10 or an average VIF > 1 is problematic
    3. CA VIF > 2 or an average VIF > 1 is problematic
    4. DA VIF > 10 or an average VIF > 2 is problematic
  3. 3The F-ratio is:

    1. Ahigher the larger the difference of the group means from the overall mean and smaller the amount of random variability
    2. Blower the larger the difference of the group means from the overall mean and smaller the amount of random variability
    3. Chigher the larger the difference of the group means from the overall mean and larger the amount of random variability
    4. Dhigher the smaller the difference of the group means from the overall mean and smaller the amount of random variability
      Previous
  4. 4What does simple effects analysis do? (multiple correct answers)
    1. Aprobes where a certain effect is happening
    2. Bperforms multiple comparisons whilst controlling overall type 2 error rate
    3. Canalyses the differences between levels of one variable
    4. Dperforms an ANOVA to allow you to reject/accept a null hypothesis
  5. 5Choose the correct statements
    1. Atype 1 error rate is conventionally set to 5% ( P < 0.05)
    2. Btype 2 error rate is conventionally set to 5% ( P < 0.05)
    3. Ctype 2 error rate = 1 - power
    4. Dif you accept a statistical power of 80% it will mean that you have a type 2 error rate of 20%
    5. Etype 1 error rate = 1 - power
    6. Fif you accept a statistical power of 80% it will mean that you have a type 1 error rate of 20%
  6. 6Which statements are correct regarding the Pearson Correlation Coefficient?
    1. A+- 0.5 is a large effect
    2. Br = +0.1 refers to a perfect straight line with a positive slope
    3. C+- 0.1 is a small effect
    4. D+- 1 is a small effect
    5. Eit measures how close the data points are to a straight line that best describes the linear relationship
    6. Fr = -1 refers to a perfect straight line with a negative slope
  7. 7How do you interpret a chi-squared test?
    1. AIf signif you can reject the null hyp and accept alternative
    2. BIf signif you can accept the null hyp and reject the alternative
  8. 8What is the non-parametric alternative to a two-way/factorial repeated measures ANOVA?
    1. AThere isn't one
    2. BFriedman's
    3. CKruskal-Wallis
    4. DWilcoxon Signed Rack
    5. EMann-Whitney test

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Descripción
University Statistics Test sobre Jess keeps getting these wrong, creado por Jessica Whittick el 14/01/2017.
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English
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