True-as in an average.
There is no mode. One of the weaknesses of mode, as a measure of central tendency, is that there may be none, one or many modes.
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.
It depends on the particular set of numbers. Which is closest to the majority of the numbers.If all are random or completely Different numbers maybe the median?If they are really different, median is the best.If they are close to the same, the mode is better.There is no measurement better than the other, unless the data contains outliers.Mean is the most common, but if the data set contains outliers then consider using median or mode.In ADDITON:Which is better between mean, median and mode also depends on which type of data are we considering. There are basically 3 kinds of data:Nominal Data (qualitative data). For eg, marital status can be married, single, divorced or de facto.Ordinal data = the data are actually ranked, for eg Google is the number 1 search engine and yahoo is the no 2 search engine.Interval (numerical): for example: age, height, length, breadth etc.If we are looking at an interval(numerical) data, we can use any mean, median or mode. Mean is generally the best measure for statistical interference if there are no extreme values. When there are extreme values it is better to use median. Mode is very rarely used.If we are looking at nominal data, we cannot calculate mean. Like in the given example, marital status can be married, single, divorced or de facto. Now look at the following tableStatus FrequencyMarried 40Single 60Divorced 20De facto 10In this case we have to choose mode. The same is applicable for shoe size, waist size etc.If we are looking for an ordinal data, where data are ranked, the best measure of central tendency will be median.Apart from the type of data, nature of investigation in hand also affects which measure should be choose. In such cases, a personal judgment should be applied. An example is, if we are tying to compare how good a class did, in comparison with other classes, the best measure of central tendency would be mean. however, if we are looking inside a class and trying to compare how well we did in our class, median would be the best measure of central tendency. Unless the data is nominal, it is very rare that mode is the best measure of central tendency.
Total central angle = 360 degrees. Each angle = 30 degrees so number of angles = 360/30 = 12. So the polygon would have 12 sides.
area
The median.
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.
The median.
Mean
the mean or the average
mean
Range is NOT a measure of central tendency. In a number of distribution - though by no means all - the mean, median and mode are near the middle of the distribution. That is more likely to be the case with a large number of observations (or experiments).
An arithmetic mean is a measure of central tendency of a set of values computed by dividing the sum of the values by the number of values.
It is a measure of the middle or central value of a variable of interest. There are different measures of central tendency and their purposes are not exactly the same. However, the basic principle is that the observed values of the variable are more likely to be near the central tendency value than far from them. Some central tendency values cannot ever be observed. A normal number cube, for example, has a mean value of 3.5 but you cannot possibly throw a 3.5!
It is a measure of the middle or central value of a variable of interest. There are different measures of central tendency and their purposes are not exactly the same. However, the basic principle is that the observed values of the variable are more likely to be near the central tendency value than far from them. Some central tendency values cannot ever be observed. A normal number cube, for example, has a mean value of 3.5 but you cannot possibly throw a 3.5!
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
Though mean, median, and mode is central tendency, it is hard to put this into words.For an example:Your average grade in math class is an A. Though, how did you calculate that average? Well, since average means mean, you calculated that average using the method of central tendency, or in this situation, you found the mean.In other words, central tendency is just a method (mean, median and mode) to find the average, middle, and most occurring score or number in a set of data.I hope this helped! ;D~Lovingless