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Marc took a random sample of 16 students from a school and for each student recorded - the number of letters, x, in their last name - the number of letters, y, in their first name - Edexcel - A-Level Maths Statistics - Question 2 - 2021 - Paper 1

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Marc took a random sample of 16 students from a school and for each student recorded - the number of letters, x, in their last name - the number of letters, y, in th... show full transcript

Worked Solution & Example Answer:Marc took a random sample of 16 students from a school and for each student recorded - the number of letters, x, in their last name - the number of letters, y, in their first name - Edexcel - A-Level Maths Statistics - Question 2 - 2021 - Paper 1

Step 1

Describe the correlation between x and y.

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Answer

The correlation between x and y is negative. This means that as the number of letters in the last name increases, the number of letters in the first name tends to decrease. There appears to be a slight downward trend in the relationship shown in the scatter diagram.

Step 2

Using the scatter diagram comment on Marc’s suggestion, giving a reason for your answer.

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Answer

Marc’s suggestion that parents with long last names tend to give their children shorter first names is compatible with the data. The scatter diagram shows a negative correlation, where most of the data points indicate that students with long last names often have shorter first names.

Step 3

Use your calculator to find the product moment correlation coefficient between x and y for these data.

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Answer

Using a statistical calculator, the product moment correlation coefficient is calculated as follows:

r=0.54458266...r = -0.54458266...
This value of approximately -0.545 indicates a moderate negative correlation.

Step 4

Test whether or not there is evidence of a negative correlation between the number of letters in the last name and the number of letters in the first name.

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Answer

To test for a negative correlation, we set our hypotheses as follows:

  • Null Hypothesis (H0): ρ = 0 (no correlation)
  • Alternative Hypothesis (H1): ρ < 0 (negative correlation)
    Using a 5% level of significance, we find our critical value. Given the correlation coefficient of approximately -0.545, we can reject the null hypothesis as it falls in the critical region, suggesting that there is indeed evidence of a negative correlation.

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