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Chapter 2 – Data

1. The news. Answers will vary.

2. Molten iron. Who – 10 crankshafts at Cleveland Casting. What – The pouring temperature (in degrees Fahrenheit) of molten iron. When – Sometime before the 1995 journal article. Where – Cleveland. Why – To ensure the pouring temperature of molten iron is close to 2550 degrees. How – Not specified. Variables – Temperature (in degrees Fahrenheit) is a quantitative variable.

3. Walking in Circles. Who – 32 volunteers. What – Sex, height, handedness, the number of yards walked before going out of bounds, and the side of the field on which the person walked out of bounds. When – Not specified. Where – Not specified. Why – The researcher was interested in whether people walk in circles when lost. How – Data were collected by observing the people on the field, as well as by measuring and asking the participants. Variables – There are five variables. Sex, handedness, and side of the field are categorical variables. Height and number of yards walked are quantitative variables.

4. Oscars. Who – Winners of Best Actor or Best Actress Oscars. What – Age (in years) at the time they won Best Actor or Best Actress Oscars. When – From the beginning of the Academy Awards to the present. Where – United States. Why – To compare age distributions of actors and actresses. How – It appears that this information was collected from a census of all Best Actor and Actress Oscar winners. Variables – There is one quantitative variable, age of the actor or actress in years.

5. Investments. Who – 48 China/India/Chindia funds listed at globeinvestor.com. What – 1 month, 1 year, and 5 year returns for each fund. When – The most recent periods of time. Where – globeinvestor.com website. Why – To compare investment returns for future investment decisions. How – globeinvestor.com uses reports from the fund companies. Variables – There are three variables, all of which are quantitative. 1 month return; 1 year return; 5 year

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