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Interval and ratio data can be represented with a histogram?
Yes.
Can a A set of ordinal interval or ratio level data have one mode?
Yes, a set of ordinal, interval, or ratio level data can have one mode, which is the value that appears most frequently in the dataset. In ordinal data, the mode represents the most common category, while in interval or ratio data, it reflects the most frequently occurring numerical value. However, it is also possible for such datasets to have no mode or multiple modes, depending on the distribution of the values.
What is inclusive series in statistics?
An inclusive series in statistics refers to a method of grouping data where both the lower and upper boundaries of each class interval are included in that interval. For example, in an inclusive series, a class interval might be represented as 10-20, meaning that both 10 and 20 are part of that interval. This contrasts with an exclusive series, where the upper boundary is not included. Inclusive series are often used when summarizing data to ensure clarity in how data points are categorized.
Is course evaluation scale nominal or ordinal or ratio or interval?
It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.
Express age of group of person as nominal data?
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Is elevation interval data or ratio?
interval
What is the difference between interval data analysis and ratio data analysis?
Data comes in various sizes and shapes. Two of them are Interval and Ratio. Interval is a measurement where the difference between two values is meaningful and follows a linear scale. For example: in physics, temperature 0.0 on either F or C does not mean 'no temperature'; in biology, a pH of 0.0 does not mean 'no acidity'. Interval data is continuous data where differences are interpretable, ordered, and constant scale, but there is no 'natural' zero. Ratio is the relation in degree or number between two similar things or a relationship between two quantities, ordered, constant scale, with natural zero. Ratio data is interpretable. Ratio data has a natural zero. A good example is birth weight in kg. The distinctions between interval and ratio data are slight. Certain specialized statistics, such as a geometric mean and a coefficient of variation can only be applied to ratio data.
Interval and ratio data can be represented with a histogram?
Yes.
What type of graph is used for interval or ratio data?
It is a HISTOGRAM.
Is Age nominal interval or ordinal data?
Age is none of the items listed. Age is ratio data.
Is math score interval data?
No; since you refer to a math score (and not a math grade), it is ratio data.
How do you get the class interval for ungrouped data in statistics?
same as grouped data i.e. (upper limit+lower limit)/2
Is time ratio or interval data?
Time is ratio data because it has a true, meaningful data. You can say that at time 20 seconds, it is twice the amount of time than 10 seconds. Interval data doesn't have a true zero e.g. degrees celcius. Although you can say 60 degrees is hotter than 30 degrees you can't say that it is twice as hot.
For interval ratio data the correct measure of central tendency is?
Interval-Ratio can use all three measures, but the most appropriate should be mean unless there is high skew, then median should be used.
Are telephone numbers ratio or interval data?
Telephone numbers are actually nominal data.
Is distance ratio or interval?
It is ratio.
Which of the scale among ratio and interval scale is better in research method topic?
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.
