Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
1. Intro to Stats and Collecting Data
Intro to Stats
Problem 10.CQQ.6
Textbook Question
Exercises 1–10 are based on the following sample data consisting of costs of dinner (dollars) and the amounts of tips (dollars) left by diners. The data were collected by students of the author.
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Change in Scale Exercise 1 stated that for the given paired data, r = 0.846. How does that value change if all of the amounts of dinners are left unchanged but all of the tips are expressed in cents instead of dollars?

1
Understand the problem: We are given a correlation coefficient (r = 0.846) for paired data of dinner costs and tips in dollars. We need to determine how this correlation changes if tips are converted from dollars to cents.
Recall the property of correlation: The correlation coefficient (r) is a measure of the strength and direction of a linear relationship between two variables. It is unitless and invariant to changes in scale or units of measurement.
Consider the effect of changing units: Converting tips from dollars to cents is a linear transformation (multiplying by 100). Such transformations do not affect the correlation coefficient because correlation is based on standardized values (z-scores) which are unaffected by changes in scale.
Conclude the effect on correlation: Since correlation is unaffected by linear transformations of the data, the correlation coefficient remains the same even if tips are expressed in cents instead of dollars.
Summarize the result: The value of the correlation coefficient (r = 0.846) does not change when the tips are converted from dollars to cents.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Correlation Coefficient (r)
The correlation coefficient, denoted as 'r', measures the strength and direction of a linear relationship between two variables. It ranges from -1 to 1, where values close to 1 or -1 indicate a strong linear relationship, and values near 0 suggest a weak linear relationship. In this context, r = 0.846 suggests a strong positive correlation between dinner costs and tips.
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Scale Invariance of Correlation
Correlation is a scale-invariant measure, meaning it is unaffected by changes in the scale of measurement of the variables. This implies that multiplying all values of one variable by a constant (such as converting dollars to cents) does not change the correlation coefficient. Therefore, expressing tips in cents instead of dollars will not alter the value of r.
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Linear Transformation
A linear transformation involves changing a variable by multiplying it by a constant and/or adding a constant. In this problem, converting tips from dollars to cents is a linear transformation (multiplying by 100). Such transformations do not affect the correlation coefficient, as correlation measures the relative, not absolute, changes between variables.
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