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Question 2
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
Step 1
Answer
The correlation between the number of letters in the last name (x) and the first name (y) is negative. As the number of letters in the last name increases, the number of letters in the first name tends to decrease, suggesting an inverse relationship.
Step 2
Answer
Marc's suggestion that parents with long last names tend to give their children shorter first names is compatible with the data and the scatter diagram. The general trend observed in the scatter plot indicates a negative correlation; as the values for x (last name length) increase, the values for y (first name length) decrease. This supports Marc's hypothesis.
Step 3
Answer
Using the data provided, the product moment correlation coefficient (r) is calculated as follows:
This indicates a moderate negative correlation between the number of letters in the last name and the first name.
Step 4
Answer
We will set up our hypotheses as follows:
Using a significance level of 5%, we find the critical value for a one-tailed test. The calculated r value of approximately -0.545 is significant enough to reject the null hypothesis, providing evidence of a negative correlation between the number of letters in the last and first names.
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Sampling & Data Collection
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Statistical Measures
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Data Presentation
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Working with Data
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Correlation & Regression
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Further Correlation & Regression
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Basic Probability
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Further Probability
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Probability Distributions
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Binomial Distribution
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Normal Distribution
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Hypothesis Testing
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Hypothesis Testing (Binomial Distribution)
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Hypothesis Testing (Normal Distribution)
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Large Data Set
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