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The first is Nominal. It is data that iscategorized and can't be arranged in an order from low to high; e.g. answer a question yes or no, colors of cars in a parking lot, race and gender. The second is Ordinal. It is data that is categorized and can be arranged in an order from low to high, but differences can not be determined, or are meaningless; e.g. grades A, B, C, D, E or grade levels 9th, 10th, 11th, 12th, or survey type questions such as do not like, somewhat like, like, love; or another is movie ratings. The third is Interval. It is the ordinal scale, but with the additional property that the difference is meaningful between the data, but does not have a natural zero starting point; e.g. the years (2009, 2000, 1610, etc), the temperature scale (50, 68, 90, oF etc). The fourth is Ratio. It is the interval scale, but with the additional property that it does have a natural zero starting point. Money and weight are examples; 0 money means you have none, and $4.00 is 2 X $2. Likewise with weight; no weight means there is none and 4 pounds is 2 x 2 pounds; the same analogy applies with height.

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Q: Define the 4 scales of measurements?
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The ratio between two sets of measurements?

Could be the conversion factor - but only if the two sets of measurements are on scales that are linear AND absolute.


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