Technically is an ordinal level measurement - because the options imply a hierarchy (i.e low to high levels of your variable of interest), but we cannot say that the difference between each level is precisely the same as you would be able to with an interval measurement. There is some controversy over this though, and it is still often used like an interval measurement in statistical tests, although this might not really be appropriate.
Examples are:a ratio can also show a part compared to the whole lot. For example there are 5 pups, 2 are boys and 3 are girls, then the ratio of boys to girls 2/3, the ratio of boys to total is 2/5, the ratio of girls to total is 3/5.a ratio can also be used in drawings. For example to draw a horse with a scale 1/10 from its normal size. Another example is that the height to width ratio of the Indian Flag is 2:3 or 2/3Another examples are:1/2, 3/4, 78/89, ... etcx/(x+1), y/(y-2), ... etc.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
I think Ratio Scale is betterInterval Scale:-Permissible Statistics mean, standard deviation, correlation, regression, analysis of varianceRatio Scale:-Permissible StatisticsAll statistics permitted for interval scales plus the following: geometric mean, harmonic mean, coefficient of variation, logarithmsTo clarify:"Best" is an odd way of looking at it. As the previous answers suggest, ratio data does allow for more advanced statistics, but for the most common forms of analysis, there is little functional difference between the two.The bigger point is that researchers don't necessarily choose the level of data that they are working with. The nature of whatever they are studying determines it, and you can get into some pretty murky water when you try to force a ratio measurement in a study where it isn't really appropriate.
What are some examples of qualifiers you might find in multiple choice questions stems?
measurement
Some advantages of liquid level measurement include real-time monitoring, improved process control, early detection of leaks or spills, and increased safety by preventing overfilling or underfilling of tanks.
Body height and weight are an example of an anthropometric measurement.
football scores and cooking
Temperature is typically measured on an interval scale, as it has equal intervals between each level but does not have a true zero point. However, in some contexts (such as in Kelvin scale), temperature can be considered a ratio scale where absolute zero represents a true zero point.
Some measurement of your proficiency in something. Like how well your English is.
Some measurement of your proficiency in something. Like how well your English is.
1560 to 3900156156 to 390390 are two examples.
they eat 1 level consumers.
an example of a ratio is the difference between two numbers or sets of numbers such as 600 and 200... the ratio is 400...
While IQ itself is a ratio", the data is interval-level data. The IQ was first created in order to relate the mental development of a child to the child's chronological age the IQ. IQ = (MA/CA) * 100 While in theory, a birth one has a MA of 0, so one could make a theoretical argument that IQ data is a ratio level of measurement because it has a natural zero. The fact is, nobody ever deals with 0 IQ because there is no such test for babies. So while theoretically, scores can range any amount below or above 100, but in practice they do not meaningfully go much below 50. Remember a ratio level of measurement is the same as an interval level of measurement with the additional property of a natural zero, where zero indicates none of the quantity is present. We use it for things like distances and prices. If we do not travel at all, that is zero distance and a free item has a 0 price. On the other hand, interval level of measurement allows the data to be arranged in some order and the difference between any two data values is meaningful. Some common examples are body temperature, and years. Years is confusing but time 0 is arbitrary and not really a starting point of time. Also the value of 0 is arbitrary for temps and does not indicate any true absence of heat. s
Yes depending on the level of profitability