Which is the best measure of central tendency for the type of data below–the mean, the median, or the mode? Explain.

Hours of sleep each night
A.Median; there will be outliers
B.Range; there are no outliers
C.Mode; the data are non-numeric
D.Mean; the outliers are limited
I think it is A...?

I agree

Thank you it was D...

I guess it can be D.. but I still like A better.

it's ok...I thought the same thing...I just liked A better. :)

1 month later... i go to conections acadmey had the same question i think anyone would like A better but nu it has to be D -.-"

Yes, you are correct. The best measure of central tendency for the given data, which is "Hours of sleep each night," is the median (option A).

The median is the middle value of a dataset when it is arranged in ascending or descending order. It is a robust measure of central tendency that is less affected by extreme values or outliers. Since there could be outliers in the data, the median would provide a better representation of the typical amount of sleep per night.

To calculate the median, you would follow these steps:

1. Arrange the data in ascending or descending order.
2. If there is an odd number of values, the median is the middle value.
3. If there is an even number of values, the median is the average of the two middle values.

In this case, the median would be the best measure because it would provide the most accurate representation of the typical amount of sleep per night, taking into account any outliers that might exist.