1. Which one of the following is a two-tailed hypothesis?
    1.   There will be a significant correlation between average GCSE scores and performance on a memory test.
    2.   There will be a significant positive correlation between average GCSE scores and performance on a memory test
    3.   There will there will be no significant correlation between average GCSE scores and performance on a memory test.
  2. Which one of the following is a negative correlation?
    1.   0
    2.   0.5
    3.   No correlation between two variables
    4.   High values of one variable are associated with low values of the other
    5.   High values of one variable are associated with high values of the other
  3. Which one of the following is a one-tailed hypothesis?
    1.   There will be a significant correlation between average GCSE scores and performance on a memory test.
    2.   There will be a significant negative correlation between average GCSE scores and performance on a memory test
    3.   There will there will be no significant correlation between average GCSE scores and performance on a memory test.
  4. Which one of the following is a null hypothesis?
    1.   There will be a significant correlation between average GCSE scores and performance on a memory test.
    2.   There will be a significant positive correlation between average GCSE scores and performance on a memory test
    3.   There will there will be no significant correlation between average GCSE scores and performance on a memory test.
    4.   There will there will be no significant positive correlation between average GCSE scores and performance on a memory test.
  5. What do we mean by operationalising variables for correlational analysis
    1.   Stating a clear way that the two variables (co-variables) are going to be measured.
    2.   Predicting a direction
    3.   Drawing a scattergram
    4.   Calculating a coefficient
  6. Which one of the following coefficients is a moderate positive correlation
    1.   0
    2.   1.0
    3.   -0.5
    4.   0.5
  7. Which one of the following coefficients is a weak negative correlation
    1.   0
    2.   -0.3
    3.   -0.5
    4.   -0.8
  8. Which one of the following coefficients is a strong negative correlation
    1.   0
    2.   0.8
    3.   -0.5
    4.   -0.8
  9. What are correlations good for?
    1.   Demonstrating a cause and effect relationship between variables
    2.   Analysing qualitative data
    3.   Nothing
    4.   Researchers may use correlational analysis as a starting point in their research
  10. Which one of the following is a positive correlation
    1.   No correlation between two variables
    2.   0
    3.   -0.5
    4.   High values of one variable are associated with low values of the other
    5.   High values of one variable are associated with high values of the other