The mode.
The mean may be a good measure but not if the data distribution is very skewed.
It is called central tendency because it represents the averages. Central tendency has three measurements: # Mean # Mode # Median
Measures of central tendency are averages. Range , the difference between the maximum and the minimum, is a measure of dispersion or variation.
If the distribution is positively skewed distribution, the mean will always be the highest estimate of central tendency and the mode will always be the lowest estimate of central tendency. This is true if we assume the distribution has a single mode.
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.
by getting the mean and multiply by the median
Catastrophizing is the tendency to magnify and expect the worst outcome in a situation. It involves focusing on the negative aspects of a situation while downplaying or ignoring any positives.
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.
Inertia is the term that describes the tendency of objects to resist changes in their state of motion.
"Measures of central tendency are statistical measures." is an accurate statement.
pessimism
The mean.
Inertia.
Inertia describes the tendency for objects to resist changes in their motion. This means that objects will remain at rest or in motion at a constant velocity unless acted upon by an external force.
The median.
Entropy
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.