Mr Robinson has asked geography students and mathematics students to take part in an experiment - AQA - A-Level Psychology - Question 5 - 2018 - Paper 1
Question 5
Mr Robinson has asked geography students and mathematics students to take part in an experiment. He asked both sets of students to learn a list of 20 words. The math... show full transcript
Worked Solution & Example Answer:Mr Robinson has asked geography students and mathematics students to take part in an experiment - AQA - A-Level Psychology - Question 5 - 2018 - Paper 1
Step 1
Calculate the mean number of words retrieved by the mathematics students
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Answer
To calculate the mean number of words retrieved by the mathematics students, add the scores together and divide by the number of participants.
Calculating the sum:
15+7+9+14+12+16+10+9+9=81
Now, dividing by the number of participants (9):
extMean=981=9.0
Thus, the mean number of words correctly retrieved by the mathematics students is 9.0.
Step 2
Calculate the mean number of words retrieved by the geography students
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Answer
For the geography students, perform a similar calculation:
Calculating the sum:
9+10+5+8+8+5+8+11+13=77
Next, divide by the number of participants (9):
extMean=977≈8.5
Thus, the mean number of words correctly retrieved by the geography students is 8.5.
Step 3
Explain which statistical (inferential) test Mr Robinson would have used to analyse the data
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Answer
Mr Robinson would likely use the Mann Whitney test to analyze the data. This test is appropriate as it compares two independent groups (mathematics and geography students) to determine if there are statistically significant differences in the median scores, given that the mathematics students experienced an interference task.
Step 4
Explain one strength of Mr Robinson using quantitative data in his experiment
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One strength of using quantitative data is that Mr Robinson does not need to personally interpret the numerical data regarding the number of words retrieved. This means that his analysis can be more objective, minimizing any biases that might occur if the results were based on qualitative data.