are zip codes discrete or continuous?
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continuous Discrete Attribute Has only a finite or countably infinite set of values Examples from text: zip codes, counts, or the set of words in a collection of documents, binary data.
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A postcode and a zip code are essentially the same thing -- an alphanumeric code assigned to every address or location, most typically to help the post office deliver the mail. The difference is that the USA uses the term zip code and the UK and some other countries use postcode or postal code.
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Answer: Continuous if looking for exact age, discrete if going by number of years. If a data set is continuous, then the associated random variable could take on any value within the range. ... In such a case, Y , representing the age of an individual in years, could take on a finite number of values within our range.
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ZIP codes were created by the USPS as an aid to sorting the mail. ... Zip codes are tied to a specific location. Area codes used to be, but are now just where you got your cell phone. They are supported by different agencies for different purposes.
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10 Answers. Discrete data can only take particular values. There may potentially be an infinite number of those values, but each is distinct and there's no grey area in between. ... Continuous data are not restricted to defined separate values, but can occupy any value over a continuous range.
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In a technical sense, ZIP Codes are not area based, but a collection of delivery points. ... At the state level, most ZIP Codes deliver wholly within the state, but a few do deliver to out-of-state areas. At the county level, some ZIP Codes cross county boundaries, but most deliver wholly within the county.
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ANSWER: The two codes are essentially the same in their purpose, but the term Zip code is mainly used in the USA; Postal Code is commonly used in other countries.
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What is the difference between discrete and continuous data? Discrete data involves round, concrete numbers that are determined by counting. Continuous data involves complex numbers that are measured across a specific time interval.
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The last 4 digits of the nine-digit ZIP Code represents a specific delivery route within that overall delivery area. All 9-digits of full zip codes assist the USPS in effectively sorting the mail.
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If a region has a main town or city, the USPS will often assign it the first ZIP Codes. After that, the ZIP Codes will proceed alphabetically. The first three digits of a ZIP Code together usually indicate the sectional center facility to which that ZIP Code belongs.
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A continuous distribution should have an infinite number of values between $0.00 and $0.01. Money does not have this property - there is always an indivisible unit of smallest currency. And as such, money is a discrete quantity.
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Definition: A set of data is said to be continuous if the values belonging to the set can take on ANY value within a finite or infinite interval. Definition: A set of data is said to be discrete if the values belonging to the set are distinct and separate (unconnected values).
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['Discrete variables represent counts (e.g. the number of objects in a collection).', 'Continuous variables represent measurable amounts (e.g. water volume or weight).']
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There are two types of quantitative variables: discrete and continuous. What does the data represent? Counts of individual items or values.
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A discrete variable has a complete range of values. ... A continuous variable is uncountable while a discrete variable has countable values. The data set for a discrete variable is finite meaning it has an end value while a continuous variable can take up an infinite value which implies that it can have endless values.
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Understanding Uniform Distribution Some uniform distributions are continuous rather than discrete. An idealized random number generator would be considered a continuous uniform distribution.
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Discrete data is information that can only take certain values. ... Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.