You are looking for a home in a particular neighborhood, and you want to know the typical number of bathrooms and bedrooms, the square footage, and the appraised value of houses in that neighborhood. Which measure of central tendency (mean, median, or mode) would be the most appropriate for each piece of information listed, and why

The average seems to be a reasonable central tenancy metric, so this provides a perfect indication of just how many rooms upstairs the area has in total. And using the median, the square feet will be estimated so it offers the midway mark between some of the lowest and highest sets and helps me to consider the floor area of houses.

It is really interesting to make some approximation to tell something on average and figure out the substitution cipher of bathrooms including bedrooms the community has. The mean, which is also an arithmetical average, will then be the indicator of central inclination.
I will be using the median to calculate the surface area and the median range should suggest that homes are constructed mostly on square footage while relevant research on the very same thing.
I will also use the feature to figure out the measured worth of houses since the mode is indeed the quality which most commonly exists in a data set. The mode of such a distinct probability distribution function seems to be the value x at which something maximal significance is taken by its probability function. It's the meaning, in those other words, that would be most probably to only be sampled. The value measured is also ideally suited to this.