you need to be more specific with your question!!
by getting the mean and multiply by the median
never * * * * * When the data are qualitative. The mean and median are unusable in such cases and the mode is the only sensible measure.
The mean may be a good measure but not if the data distribution is very skewed.
The median, as long as you don't want to do any serious statistical testing.
Its the one most commonly used but outliers can seriously distort the mean.
The arithmatic mean is not a best measure for central tendency.. It is because any outliers in the dataset would affect its value thus it is considered not a robust measure.. The mode or median however would be better to measure central tendency since outliers wont affect it value.. Consider this example : Arithmatic mean dan mode from 1, 5, 5, 9 is 5.. If we add 30 to the dataset then the arithmatic mean will be 10 but the mode will still same.. Mode is more robust than arithmatic mean..
A weighted mean is probably best. Certainly better than a median which throws away information from most of the observations.
There is no universal best. The mode is sometimes mentioned as a measure of central tendency but it is not really one. For example, if studying rolls of a die, the mode has nothing whatsoever to do with central tendency. However, it is the only summary measure that makes sense when the observed variable is nominal or categoric. For example, if the data are about the colours of cars, the mean or median colour makes no sense. The mean and median have advantages over the other in different circumstances. The Central Limit Theorem and Normal approximation favour the mean but the unrestricted mean is vulnerable to outliers.
The variable, height, is a continuous variable. The mode is not a good measure of central tendency for continuous variables because you would need a very large number of observations (pupils) before you are likely to get a useful number of repeat values. The modal class may be a good measure. Provided you do not have extremely short or extremely tall pupils, the mean would probably be the best.
the median is perferred when the data is strongly skewed or has outliers. =)
Yes. Central tendency is the way data clusters around a value. Even if the distribution of the value is skewed, the median would be the best indicator of central tendency because of the way the data is clustered.
you find which one is best for example, the mode could be the beat because it shows the most amount of data. just by looking at the mode you can figure out a lot about the survey and the data you have collected.
If you want to ask questions about "this situation", then I suggest that you make sure that there is some information about the situation in the question.
which of the following statements best represents the central idea of the passage
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 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.