- Qu 1: Imagine that you had asked a group of men and a group of women: 'What kind of music do you like best of all?' How would you find out whether there is a significant gender difference in the type of music preferred?
- Calculate the means and use the t-test to test for statistical significance.
- Use the F-test to test for statistical significance.
- Construct two frequency distributions and apply the Chi-squared test for statistical significance
- Calculate the standard deviation for each gender and compare
- None of the above
- Q2 Suppose you had been involved in the evaluation of an experimental slimming diet. You have available the weights of 46 subjects who had each been weighed before and after taking part in the experiment. How would you check whether there had been a significant change in weight following the experiment?
- For each subject, calculate the gain or loss in weight and apply the Chi-squared test
- Calculate the product-moment correlation between the two sets of weights
- Calculate a regression coefficient based on the weights before the start of the experiment, and test its significance
- Calculate the means of the two sets of weights and apply the formula for t-test for related samples
- None of the above
- Belief in Life After Death
On the basis of the above table, which of the following conclusions would you accept?- Younger people are less afraid of death
- Belief in an afterlife causes people to live longer
- Older people have had a more religious upbringing
- Older people are less afraid of death;
- None of the above
- Suppose we have the average digestion time of a typical meal for a sample of horses, a sample of cows, a sample of dogs and a sample of rabbits. The results of an over-all ANOVA are significant at the 5% level. Does this mean:
- that such a result would occur by chance 1 in 20 times?
- that grass eaters eat more slowly?
- that smaller animals have faster digestions?
- that 5% of the animals have above-average digestion rates?
- none of the above?
- If we find a statistically significant correlation of -.64 between speed and accuracy on a simple clerical task, does this mean:
- that the faster subjects were more accurate?
- that the slower subjects were often more accurate?
- that 64% of the subjects made mistakes?
- that the faster subjects made fewer mistakes?
- none of the above?