First, we need to find the mean of the data. The mean is known as the average, and it's calculated by adding up all of the values in the data set and then dividing by the number of data points. In this case, the mean of the given data turns out to be 6.0.
Secondly, we need to find the median of the data. The median is the middle value when the data is sorted in order. In this case, the median of the given data is 5.0.
Next, we find the mode of the data. The mode is the most frequently occurring value in the data set. For this data, the mode is 5, which occurs three times.
Fourthly, we determine the range of the data. The range represents the distance between the smallest and largest values in the data set. In this case, the range of the data is 10.
Lastly, it is important to determine which measure of central tendency best describes the data. The choice of the best measure generally depends on the context and the nature of the data. The mean is often a common choice because it takes all data points into account, but it can be affected by outliers. The median is less affected by outliers and skewed data. The mode can be useful in certain contexts, especially for categorical data, but for numerical data, it could be less useful if there are many different numbers. The range gives an indication of the spread of the data.
However, without more context, it's impossible to definitively say which measure of central tendency best describes the data.