The mean age of swimmers for all of these teams is 10. what does the large mad tell you?

MAD which is know as mean absolute deviation gives us the mean of the absolute deviation of each of the data points from the mean of the data set.

The large mean tells us that there is a greater variability in the data i.e. the data is spread out which leads to the larger deviation of  the data points from the mean of the data.

Here the mean age of swimmers for all the teams is 10

Hence, the larger MAD tells that there are swimmers whose age are much more than 10 and hence the deviation from mean will be more and hence leads to larger MAD.

a

step-by-step explanation:

a

step-by-step explanation:

we are given a graph for system of inequalities.

in order to write the system of inequalities for the given graph, we need to find the inequality for each of the line separately.

let us find the slope of dotted line first.

taking two coordinates on the graph.

let us say (0,0) and (3,1).

let us find the slope of the line now.

slope of the dotted line would be =.

y-intercept of dotted line is y=0 only.

plugging slope m= and b=0 in slope-intercept form y=mx+b, we get

.

the line is shaded up of that dotted line.

therefore, for shading up we would take greater than inequality symbol > .

and because it's a dotted line we would take only > symbol in place of = sign in above equation of line.

therefore, inequality for dotted line would be

let us take two points (3,1) and (0,4) on the solid line.

slope of the solid line would be =.

for the solid line we have y-intercept b= 4.

plugging slope m= -1 and b=4 in slope-intercept form y=mx+b, we get

y = -1x + 4.

the line is shaded down of that solid line.

therefore, for shading down we would take less than inequality symbol < .

and because it's a solid line we would take ≤ symbol in place of = sign in above equation of line.

therefore, inequality for solid line would be