SOC 201 Lab Section Week 11   1. Scientists examined data on mean...

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# SOC 201 Lab Section Week 11   1. Scientists examined data on mean...

SOC 201 Lab Section Week 11

1. Scientists examined data on mean sea surface temperatures (in degrees Celsius) and mean coral growth (in millimeters per year) over a several-year period at locations in the Red Sea. Here are their data.

1. Make a scatterplot. Which is the independent (i.e. explanatory) variable?

1. Find the correlation r step by step. You may wish to round off to two decimal places in each step. Explain how your value for r matches your graph in part (a).

1. Do you have evidence that the correlation exists in the population of coral in the Red Sea? Explain your answer.

2. Import the "Lab 8- Texts & GPA Spreadsheet" into Google Sheets. Once you have done this, make a scatterplot and run a correlation. Please copy/paste your scatterplot below. Explain in 2-3 sentences the relationship between the variables on the scatterplot as well as the correlation value. Make sure to also describe how the correlation value, r, matches your scatterplot.

3. What is wrong with these statements?

a. "We found a high correlation (r = 1.09) between students' ratings of faculty teaching and ratings made by faculty members."

b. "There is a high correlation between one's race (i.e. White, Black, Hispanic, Asian, American Indian, Pacific Islander, or Other) and one's income."

c. "The correlation between height and weight of the subjects was r = 0.63 centimeters."

d. "A sociological study found substantial differences across gender in the relationship between years of education and spending on lottery tickets. For men, the correlation was 0.88, which indicates a strong relationship. For women, the correlation was -0.95, which indicates a weak relationship."

4. The sea surface temperatures in exercise 1 above was measured in degrees Celsius and millimeters per year. If, instead, the measurements were made in degrees Fahrenheit and inches per year, would the correlation change? Explain your answer.

5.  Data show that men who are married earn quite a bit more than men the same age who have never been married. Does this mean that a man can increase his income by getting married? Men who have never been married may be different from married men for reasons other than marital status. Suggest several lurking variables that might help explain the association between marital status and income.

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