Question

learning target: i can describe the shape of a distribution using the terms \symmetric, skewed, uniform, bimodal, and bell - shaped.\ activity 1: card sort matching distributions take turns with your partner matching two different data displays that represent the distribution of the same set of data. 1. for each set that you find, explain to your partner how you know it’s a match. 2. for each set that your partner finds, listen carefully to their explanation. if you disagree, discuss your thinking and work to reach an agreement. 3. when finished with all 10 matches, describe the shape of each distribution. shapes of distributions key concepts we can describe the shape of distributions as symmetric, skewed, bell - shaped, bimodal, or uniform. the dot plot, histogram, and box plot shown here represent the distribution of the same data set. this data set has a symmetric distribution. in a__________________, the mean is equal to the median and there is a vertical line of symmetry in the center of the data display. the histogram and the box plot both group data together. since histograms and box plots do not display each data value individually, they do not provide information about the shape of the distribution to the same level of detail that a dot plot does. this distribution, in particular, can also be called bell - shaped. a __________________ has a dot plot that takes the form of a bell with most of the data clustered near the center and fewer points farther from the center. this makes the measure of center a very good description of the data as a whole. bell - shaped distributions are always symmetric or close to it.

Explanation:

1. For the first blank: The description mentions that the mean equals the median and there's a vertical line of symmetry in the data display. From the key concepts, this matches the definition of a "symmetric distribution".
2. For the second blank: The description says the dot plot takes the form of a bell with most data clustered near the center, which is the definition of a "bell - shaped distribution" (also related to symmetric as bell - shaped distributions are always symmetric or close to it).

Answer:

First blank: symmetric distribution
Second blank: bell - shaped distribution