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Table 23-2 Suppose a Town Is to Vote on Three Possible Locations

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Table 23-2
Suppose a town is to vote on three possible locations for a new park: A, B, or C. The preferences are in Table 23-2. Suppose the mayor decides on the following Borda count voting scheme: For each option, we will give one point for last place, two points for second last, and three points for the third last etc. The outcome with the most points is the winner.
Table 23-2 Suppose a town is to vote on three possible locations for a new park: A, B, or C. The preferences are in Table 23-2. Suppose the mayor decides on the following Borda count voting scheme: For each option, we will give one point for last place, two points for second last, and three points for the third last etc. The outcome with the most points is the winner.    -Refer to the information provided. The Borda count fails to satisfy which of Arrow's properties of a perfect voting system? A) unanimity B) transitivity C) independence of irrelevant alternatives D) no dictators
-Refer to the information provided. The Borda count fails to satisfy which of Arrow's properties of a perfect voting system?

Know the empirical rule and how it applies to data distribution.
Identify and calculate central tendency measures, specifically the median.
Understand measures of dispersion and be able to list and describe them.
Understand the concept of kurtosis and how it affects data distribution.

Definitions:

Mean

The arithmetic average of a set of numbers, calculated by adding them together and dividing by the number of quantities.

Point Estimate

A single value estimate of a population parameter that serves as the best guess or prediction of the parameter.

Confidence Limits

Confidence limits define the range within which a population parameter is estimated to lie with a certain level of confidence.

Standard Error

A measure of the dispersion or spread of sample means around the population mean.

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