renita analyzed two dot plots showing the snowfall during the winter months for city a and for city b. she…

renita analyzed two dot plots showing the snowfall during the winter months for city a and for city b. she found that the median snowfall is 5 inches less in city a than in city b and the mean snowfall is about 2 inches less in city a than in city b. which explains why there is a difference in the measures of center for the sets of data? one set of data has more variation than the other. there are no outliers in either set. in each set, the distribution is clustered around one value. the modes must be the same for each set.

renita analyzed two dot plots showing the snowfall during the winter months for city a and for city b. she found that the median snowfall is 5 inches less in city a than in city b and the mean snowfall is about 2 inches less in city a than in city b. which explains why there is a difference in the measures of center for the sets of data? one set of data has more variation than the other. there are no outliers in either set. in each set, the distribution is clustered around one value. the modes must be the same for each set.

Answer

Brief Explanations:

The difference in measures of center (median and mean) between two data - sets is often due to the variation in the data. More variation can cause the mean to shift relative to the median. If there are no outliers, it doesn't necessarily explain the difference in measures of center. Clustering around one value would make mean and median similar. And mode has no direct relation to the difference between mean and median in this context.

Answer:

One set of data has more variation than the other.