In: Statistics and Probability
Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The
200 students in group 1 had a mean score of 21.8
with a standard deviation of 3.5, while the 200 students in group 2 had a mean score of 19.9
with a standard deviation of 4.6.
Complete parts (a) and (b) below.
(a) Determine the 95% confidence interval for the difference in scores, μ1−μ2. Interpret the interval.
(b) What does this say about priming?
We need to construct the 95% confidence interval for the difference between the population means μ1−μ2. The following information has been provided about each of the samples:
The critical value for α=0.05 is . The corresponding confidence interval is computed as shown below:
Therefore, based on the data provided, the 95% confidence interval for the difference between the population means μ1−μ2 is 1.099<μ1−μ2<2.701, which indicates that we are 95% confident that the true difference between population means is contained by the interval (1.099,2.701).
(b)
It seems priming is successful. As 0 does not lie in the above confidence interval, priming can successfully alter and influence a person's opinions, in this case the output of a trivia game. (Goes a long way in saying, you think what you become!)
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