00:01
For this question, starting with part a, we first need to find our class width.
00:05
We do so by taking our largest data value and subtracting our smallest data value.
00:09
And then we divide by the number of classes we're going to have.
00:12
For this one, our largest data value is 43 and our smallest is zero.
00:16
So we subtract those and divide by 8, which is the number of classes we're going to have.
00:20
We get 5 .3 and we have to round up to 6, so our data fits within our classes.
00:25
So we start with our class limits in our frequency histogram.
00:29
We start with our lowest number, which is 0.
00:31
And then we add six to it to get the next class's lowest limit.
00:36
Then we add six again, add six, and so on.
00:39
And then our upper class limit is one minus the lower class limit for the following class.
00:45
And then when we get to this one, we can just add our width to the upper class limit of the class before it.
00:52
For our class bounds, it is our lower class limit minus 0 .5 and our upper class limit plus 0 .5.
01:00
And then to find our midpoint, we take our lower class limit and we add our upper class limit and divide by two...