Compare Data Sets

Front

Determine the best measure of center and measure of variability to use based on the shape of the distribution.

Back

The mean and standard deviation are the best measures of center and variability to use for these distributions since they are both symmetric dot plots.

Front

Determine which dot plot has the greatest measure of center.

Back

The mean for distribution 1a is greater since the center is to the right of the center for distribution 1b.

Front

Determine which dot plot has the greatest measure of variability.

Back

The standard deviation for distribution 1a is greater since most of the data is farther away from the mean than in distribution 1b.

Front

Determine the best measure of center and measure of variability to use based on the shape of the distribution.

Back

The mean and standard deviation are the best measures of center and variability to use for these distributions since they are both symmetric dot plots.

Front

Determine which dot plot has the greatest measure of center.

Back

The mean for distribution 2b is greater since the center is to the right of the center for distribution 2a.

Front

Determine which dot plot has the greatest measure of variability.

Back

The standard deviation for distribution 2a is greater since most of the data is farther away from the mean (center) than in distribution 2b.

Front

Determine the best measure of center and measure of variability to use based on the shape of the distribution.

Back

The median and interquartile range are appropriate for these distributions since they are not symmetric.

Front

Determine which dot plot has the greatest measure of center.

Back

The median for distribution 3a is greater since the center is to the right of the center for distribution 3b.

Front

Determine which dot plot on your card has the greatest measure of variability.

Back

The interquartile range is greater for distribution 3a since the data is more spread out in that distribution.

Front

Determine the best measure of center and measure of variability to use based on the shape of the distribution.

Back

The mean and standard deviation are appropriate for these distributions since they are symmetric.