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What is the appropriate measure of central tendency for an ordinal scale?
Wiki User
∙ 11y ago
median
Wiki User
∙ 11y ago
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What measure of central tendency may not exist for all numeric data sets?
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
What particular measure of correlation would be most appropriate for use with two variables measured at an ordinal level?
Chi Square
What is the measure of central tendency for nominal and ordinal data?
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.
How do you know which measure of central tendency best describes the data?
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.
Is age is a nominal or ordinal?
Ordinal
Which measure of central tendency cannot be applied to ordinal data?
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.
What measure of central tendency may not exist for all numeric data sets?
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
What particular measure of correlation would be most appropriate for use with two variables measured at an ordinal?
Chi Square
What particular measure of correlation would be most appropriate for use with two variables measured at an ordinal level?
Chi Square
Would you use mode and median measure for the central location would be appropriate to use for the data generated by a questionnaire?
If the information collected is nominative - eg what is your favourite colour - you have no choice but to use mode. A median may be an appropriate choice is there are outliers or if the data are on an ordinal but not in interval scale - eg small/medium/large or strongly disagree/disagree/agree/strongly agree.
What is the appropriate measure of average that must be used?
The appropriate measure of average that must be used depends on the type of data being analyzed and the research question being asked. For example, if the data is numerical and normally distributed, the mean is often used as the measure of average. If the data includes outliers or is not normally distributed, the median may be a more appropriate measure of average. Similarly, if the data is categorical or ordinal, the mode may be the appropriate measure of average.
How do you know which measure of central tendency best describes the data?
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.
What is the measure of central tendency for nominal and ordinal data?
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.
Differentiate between cardinal and ordinal theories of consumer behavior?
. 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.
Differences between cardinal and ordinal utility approach?
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.
Ordinal number for sixteenth?
"sixteenth" is an ordinal number. There is no ordinal number for an ordinal number!
A Explain the difference between cardinal and ordinal approach of consumer behavior?
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)
