Here's a short story:

In economics, the Gini coefficient (sometimes expressed as a Gini ratio or a normalized Gini index) is a measure of statistical dispersion intended to represent the income or wealth distribution of a nation's residents, and is the most commonly used measure of inequality. It was developed by the Italian statistician and sociologist Corrado Gini and published in his 1912 paper "Variability and Mutability" (). 

The Gini coefficient measures the inequality among values of a frequency distribution (for example, levels of income). A Gini coefficient of zero expresses perfect equality, where all values are the same (for example, where everyone has the same income). A Gini coefficient of 1 (or 100%) expresses maximal inequality among values (e.g., for a large number of people, where only one person has all the income or consumption, and all others have none, the Gini coefficient will be very nearly one). However, a value greater than one may occur if some persons represent negative contribution to the total (for example, having negative income or wealth). For larger groups, values close to or above 1 are very unlikely in practice. Given the normalization of both the cumulative population and the cumulative share of income used to calculate the Gini coefficient, the measure is not overly sensitive to the specifics of the income distribution, but rather only on how incomes vary relative to the other members of a population. The exception to this is in the redistribution of wealth resulting in a minimum income for all people. When the population is sorted, if their income distribution were to approximate a well-known function, then some representative values could be calculated. (End of story)

Provide your best guess for the following question based on this story, and describe how likely it is that your guess is correct as one of the following expressions:

Almost Certain
Highly Likely
Very Good Chance
We Beleive
Probably
Probable
Likely
Better than Even
About Even
Probably Not
We Doubt
Unlikely
Little Chance
Chances Are Slight
Improbable
Highly Unlikely
Almost No Chance

Give ONLY the guess and your confidence, no other words or explanation. For example:

Guess: <most likely guess, as short as possible; not a complete sentence, just the guess!>
Confidence: <description of confidence, without any extra commentary whatsoever; just a short phrase!>

Here are a few examples of questions and answers:

Question: What could I use to measure the differences in income in a population?
Guess: ,the Gini coefficient
Confidence: <appropriate level of confidence in this guess>

Question: Using that, what would even Steven look like?
Guess: zero
Confidence: <appropriate level of confidence in this guess>

Question: Who invented this way of measuring?
Guess: Corrado Gini
Confidence: <appropriate level of confidence in this guess>

Question: Did he publish any of his work?
Guess: yes
Confidence: <appropriate level of confidence in this guess>

Question: When?
Guess: 1912
Confidence: <appropriate level of confidence in this guess>

Question: What was it called?
Guess: Variability and Mutability
Confidence: <appropriate level of confidence in this guess>

Question: What is this coefficient primarily used to measure?
Guess: inequality
Confidence: <appropriate level of confidence in this guess>

Now answer the following question in the same format.

Question: In what?

among values of a frequency distribution