The mean cannot be used with ordinal data. The best measure of central tendency for ordinal data is usually the median.
A common example of ordinal data is the scale you see in many surveys. 1=Strongly disagree; 2=Disagree; 3=Neutral; 4=Agree; 5=Strongly agree.
The mean would have not meaning here ( no pun intended)
The median is simple the middle value. The mode does have meaning.
"sixteenth" is an ordinal number. There is no ordinal number for an ordinal number!
The ordinal number of 43 is 43rd and the ordinal word is forty-third.
The ordinal number of 22 is 22nd and the ordinal word is twenty-second.
the ordinal word for 60 is sixtieth or 60th
Where the form is ordinal.
median
Measurement Scale Best measure of the 'middle' Numerical mode Ordinal Median Interval Symmetrical data- mean skewed data median Ratio Symmetrical data- Mean skewed data median
The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.
The answer will depend on the nature of the data.If the data are qualitative then the only option is the mode.If they are ordinal then you have a choice between the mode and median. The mode may be a better measure when the data are very skewed. Otherwise the median is usually better.For any higher level of measurement is is also possible to calculate the mean. In such cases the median or mean are better. For very skew distributions the median is better but otherwise is should be the mean.
. Cardinal Approach refers that you can calculate or Measure the utility (degree of satisfaction) Numerically, while According to ordinal approach you can not measure the utility numerically. 2. Cardinal Approach follow the Law of Diminishing Marginal Utility while Ordinal Approach follow the Indifference Curve. 3.Cardinal Approach Emphasis on units while ordinal approach is based on rank.
A difference is that with ordinal utility approaches, you cannot numerically measure the level of consumer satisfaction. With cardinal utility approaches, you can to an extent.
"sixteenth" is an ordinal number. There is no ordinal number for an ordinal number!
1. Cardinal Approach refers that you can calculate or Measure the utility (degree of satisfaction) Numerically, while According to ordinal approach you can not measure the utility numerically. 2. Cardinal Approach follow the Law of Diminishing Marginal Utility while Ordinal Approach follow the Indifference Curve. 3.Cardinal Approach Emphasis on units while ordinal approach is based on rank. BY SUMIT SONI(IITTM)
The ordinal word is sixtieth. There is no ordinal number.
Chi Square
The ordinal number of 43 is 43rd and the ordinal word is forty-third.
The ordinal number of 22 is 22nd and the ordinal word is twenty-second.