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Q: Is age an interval or ratio scale of measurement?

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Year of birth is interval level of measurement; age is ratio.

The year is interval scale (no natural zero); your age is ratio.

Ratio is the highest level of measurement in that the data can be ordered, the distance between the values are meaningful, and there is a natural zero. Examples of Ratio measurement would be weight, height, money, age, and distance. From the related link "The ratio scale of measurement is the most informative scale. It is an interval scale with the additional property that its zero position indicates the absence of the quantity being measured. You can think of a ratio scale as the three earlier scales rolled up in one. Like a nominal scale, it provides a name or category for each object (the numbers serve as labels). Like an ordinal scale, the objects are ordered (in terms of the ordering of the numbers). Like an interval scale, the same difference at two places on the scale has the same meaning. And in addition, the same ratio at two places on the scale also carries the same meaning."

Employee age is a ratio level of measurement. Requirements of ratio level of measurement are: A) has a natural zero (in case of age is birth) and B) differences and ratio's are meaningful (for age 4 is twice as old as 2).

Ordinal. Though more likely interval or even ratio scale.

Age is none of the items listed. Age is ratio data.

Examples of ratio level of measurement are age, weight, and amount of money.

A person's age is a ratio scale because we can say person A's age is twice older than person B's. Equal difference ages on a ratio scale all have exactly the same size. Moreover in age, 0 (zero) exists, which is feature of a ratio scale.

It's Ratio.

ordinal

Neither, age is at a ratio level of measurement.

No It's continuous variable a that also falls under the category of 'ratio level of measurement'

Anything characteristic that can be measured on a ratio scale. It could be the lengths of two objects, or their mass, or age, or louness.

illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data

Age is a ratio-scale variable. The properties of the ratio-level data are: # Data classifications are ordered according to the amount of the characteristics they possess. # Equal differences in the characteristics are represented by equal differences in the numbers assigned to the classifications. # The zero point is the absense of the characteristics and the ratio between two numbers is meaningful. Say for example a 20-year-old and a 40-year-old man. You can say that the 40-year-old is twice as old as the 20-year-old. This shows that the difference is meaningful.

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

Interval Data: Temperature, Dates (data that has has an arbitrary zero) Ratio Data: Height, Weight, Age, Length (data that has an absolute zero) Nominal Data: Male, Female, Race, Political Party (categorical data that cannot be ranked) Ordinal Data: Degree of Satisfaction at Restaurant (data that can be ranked)

95% confidence interval for rate can be expressed as : Rate +/- 1.96 Rate/sqrt(n) where n is the number of events and sqrt means square root. Hope this helps. Omar.

A scale is the entire amount of values that a variable could in principle have.For example a variable "age in years" could have any value that is a number equal to or above zero, so it's scale consists of: 0, 1, 2, 3, 4, 5 ...................... and so on, and theoretically it even includes values like 3.5 (= 3 years and 6 months).So THAT is a scale.There are DIFFERENT TYPES of scales, which are:nominal scales: When you can only check whether two values from this scale are EQUAL OR DIFFERENT then it's a nominal scale.(e.g. a variable "Name of a Person")ordinal scale: if you can also check which of two values from this scale is "larger" then it's an ordinal scale.interval scale: if you can also give a precise answer about the difference between two values from this scale, then it's an interval scale.(e.g. "Year of Birth")ratio scale: If you can also calculate precisely how much bigger or smaller one value of this scale is than another (as in "twice as big as...." or "0.34 timese as big as") that it's a ratio scale.(e.g. "weight" or "number of children")

No. When a scale has a true zero it is called a ratio scale. Examples are age, income, etc. In a nominal scale values are simply labels. For example, gender, colours, etc. We may code these with numbers but the numbers have no inherent meaning and the values chosen do not imply any ordering.

yes

You need to know the activity at the start of the interval in question. You measure the activity at the end of the interval in question, compare the two, and back calculate the age. Commonly, in Carbon-14 dating, we use the ratio of Carbon-14 to Carbon-12/Carbon-13, and calibrate by using other methods of dating. This works because the ratio is (relatively) constant when the carbonaceous material is alive, and starts to decay with a 5700 year halflife at death.

'Celsius' is the name of a scale of temperature measurement. It has no connection at all with 'gram', any more than you could tell me your age in Fahrenheit.

ordinal

I am not sure if I understand your question. I will rephrase it to: Should data collected on the ages of persons in a group be consider as nominal, ordinal, interval or ratio data? It is ratio. Now, let's try another question. A study finds that people with names beginning with the letter "a-k" are older than people with letters "l-z". In this case, the data collected on names in nominal data, but the ages are still ratio data.

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