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GPA per capita

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Two students are discussing the pros and cons of different measures of economic development. "GPA per capital" declares the first, "is the only true measure of how developed a country's economy is". The second student counters: "I disagree. The only true measure of a country's ecnomic development is its people's quality of life, regardless of its GDP". Why is each of these students incorrect?

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GDP per capita is an important measure of country's development. As per investopedia, "GDP represents the total dollar value of all goods and services produced over a specific time period." As per investorwords.com, GDP is the "total market value of all final produced in a country in a given year, equal to total consumer, investment and government spending, plus the value of exports, minus the value of imports. " GDP per capital is national income divided by population. GDP per capital represents the national income per person and it can be used to know about the performance of the economy. But it ignores the qualitative aspects of the economy. GDP doesn't measure the well being of the economy.

Person's quality of life is also an important parameter to assess the economic development. Some important parameters are life expectancy, Education or literacy levels, ...

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a. When comparing crime rates across U.S. cities, cities that have more police per capita
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crime from additional investment in police protection.

b. A study in the Annals of Improbable Research once reported that counties with large
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population (your professor grew up in Kansas—this definitely appears to be true). From
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c. An analysis of over 50 million anonymous Google search queries including the word
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searches than almost all other days; and Mondays had more searches than Sundays.
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d. In a recent study of men aged 21-30, the number of hours shooting pool (billiards) per
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e. In a study on the effect of class size on the performance of 6th
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f. A researcher found that average test performance of children with divorced parents was
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3) Imagine you are conducting a study of the effectiveness of adjunct statistics professors relative to tenure-track and tenured professors in the same subject. Your university, Big State U, offers multiple sections of introductory statistics, some of which are taught by adjunct professors and some of which are taught by tenure-track or tenured professors. You have access to two potentially useful measures of effectiveness: professors' teaching evaluations, and a standard end-of-semester final exam that all Big State U statistics students are required to take. You also have access to other relevant information about students who took these tests: their GPA, high school class rank, gender, and so on.

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c. You estimate a multiple regression for final exam scores, that relates these test scores to
(1) type of professor, and (2) other students characteristics—their GPA, high school
class rank, gender, etc.

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