There would be 14.
There would be 14
Bars are for single values or classes with uniform width, and the height of each bar is the frequency. In a histogram, the classes are of different width and the heights are proportional to the frequency density. The frequency, itself, is given by the area of the "bar" above the class.
frequency distribution
The sum of the relative frequencies must equal 1 (or 100%), because each individual relative frequency is a fraction of the total frequency. The relative frequency of any category is the proportion or percentage of the data values that fall in that category. Relative frequency = relative in category/ total frequency It means a number in that class appeared 20% of the total appearances of all classes
the frequency is less than OR EQUAL TO the cumulative frequency
They are both modal classes - the distribution is bi-modal.
Bars are for single values or classes with uniform width, and the height of each bar is the frequency. In a histogram, the classes are of different width and the heights are proportional to the frequency density. The frequency, itself, is given by the area of the "bar" above the class.
The frequency in a frequency table is the number of occurrences within each class width. The total frequency is the sum of all frequency's within all the classes.
frequency distribution
The sum of the relative frequencies must equal 1 (or 100%), because each individual relative frequency is a fraction of the total frequency. The relative frequency of any category is the proportion or percentage of the data values that fall in that category. Relative frequency = relative in category/ total frequency It means a number in that class appeared 20% of the total appearances of all classes
the frequency is less than OR EQUAL TO the cumulative frequency
They are both modal classes - the distribution is bi-modal.
If, in a frequency distribution, the initial class interval is indeterminate at its beginning and/or the final class interval is indeterminate at its end, the distribution is said to possess "open ended" classes.
to avoid a large number of empty classes?
If the observations are grouped together into classes, then the number of observations for each class gives the grouped frequency distribution (FD). This kind of FD is particularly important when the data are continuous so that you are likely to have very small frequencies for a very large number of values.
try sqrt(N) where N represents the number of observations you have...
The categories, variable values or midpoints of class-intervals.
The classes listed have a class width of 11.