It is the middle of the class. e.g. 0<l<10 - class midpoint is 5 because it is the middle of the class. e.g. 25<t<50 - class midpoint is 37.5 because it is the middle of the class Midpoint = MIDDLE
97
No, the midpoint is the result of adding the upper and lower limits in a class and dividing that by 2. Essentially the mid point is the average of the two limits.
The class midpoint
It is usually the midpoint of the class.
It is the middle of the class. e.g. 0<l<10 - class midpoint is 5 because it is the middle of the class. e.g. 25<t<50 - class midpoint is 37.5 because it is the middle of the class Midpoint = MIDDLE
It is the middle of the class. e.g. 0<l<10 - class midpoint is 5 because it is the middle of the class. e.g. 25<t<50 - class midpoint is 37.5 because it is the middle of the class Midpoint = MIDDLE
It is the middle of the class. e.g. 0<l<10 - class midpoint is 5 because it is the middle of the class. e.g. 25<t<50 - class midpoint is 37.5 because it is the middle of the class Midpoint = MIDDLE
It is the midpoint of the class interval. I.e let b=the highest number in the class, a = the lowest number in the class. The midpoint is (a+ 1/2(b-a)).
midpoint between 4-16
midpoint between 4-16
97
No, the midpoint is the result of adding the upper and lower limits in a class and dividing that by 2. Essentially the mid point is the average of the two limits.
The class midpoint
It is usually the midpoint of the class.
class boundary is the midpoint between the upper class limit of a class and the lower limit class of the next class sequence when making a class interval starting at the lowest lower limit in the bottom of a table.
When data are summarised into classes, their exact values are lost. There is no way of knowing whether the original observations were near the bottom of the class, the top of the class or evenly spread out. Assuming that all the observations that fall into a particular class take the midpoint value is a reasonable approximation. It is the maximum likelihood unbiased estimate. It also sets the variance within each class to 0.