The mode is the numerical value of rainfall (or range of values, if dealing with grouped data) that fell on the most periods.
Both classes are modal classes.
When data is grouped and each of the intervals or categories has the same relative frequency, then no mode can be calculated. This can happen when the dataset is very limited. If all numbers in a dataset are the same, then it is impossible to calculate a mode, no matter how the data is grouped. Sometimes the level of variation is so much less than our measurement capability that we can not detect variations in variables.
If you have calculated a histogram of your data, the mode is the interval with the highest relative frequency. If you have not created a histogram, and your dataset contains finite numbers (fixed decimal numbers), with some numbers repeating, then those numbers that repeat the most would be the mode. Otherwise, if you do not group your data, where you select an interval to calculate relative frequency, then a mode is not identifiable.
The mode of a set of data is the most frequent value. Sometimes there is more than 1 most frequent value so there is more than one mode. For example our set is { 1,2,3,4,4,5,6,9} the mode is 4 and here is another set {1,2,3,3,4,5,6,6,7} the modes are 3 and 6 and we say the set is bimodal.
Crude Mode (Grouped data) is the midpoint of the class limit with the highest frequency. Therefore, in getting the Crude Mode, look for the highest frequency and look at it's class limit. Lastly, get he class limit's midpoint. The Class Limit's midpoint will be the Crude Mode (Grouped Data).
it is used to find mean<median and mode of grouped data
L + d1/d1+d2 x w
Not sure what a "grouped of data" means!
For discrete data, a bar chart. For continuous data a grouped frequency chart (histogram).
The mode is the numerical value of rainfall (or range of values, if dealing with grouped data) that fell on the most periods.
Mean, median and mode are ways to find averages. The mode is the most common answer in a set of data. The median the number that is in the middle when the numbers are put in order. The mean is the statical average.
Both classes are modal classes.
When data is grouped and each of the intervals or categories has the same relative frequency, then no mode can be calculated. This can happen when the dataset is very limited. If all numbers in a dataset are the same, then it is impossible to calculate a mode, no matter how the data is grouped. Sometimes the level of variation is so much less than our measurement capability that we can not detect variations in variables.
If you have calculated a histogram of your data, the mode is the interval with the highest relative frequency. If you have not created a histogram, and your dataset contains finite numbers (fixed decimal numbers), with some numbers repeating, then those numbers that repeat the most would be the mode. Otherwise, if you do not group your data, where you select an interval to calculate relative frequency, then a mode is not identifiable.
Data can be grouped or ungrouped. The categories data are grouped in depend on the data. For example, data collected about people could be grouped as male/female, by ages, or some other common characteristic. Data collected about dogs could be grouped by breed of dog, age, long hair/short hair, or size.
Grouped means the grouping of relevant data after analysis. When raw data is analyzed in proper and meaningful way then its transformed into groups and these groups are known as grouped data.