finding grouped mean: you normally have a table like this : VISITS FREQ SUM <--to work out this, you times visits by freq. 0 5 0 <-- 1 13 13 <-- 2 21 42 <-- 3 7 21 <-- 4 4 16 <-- 50 92then work out the totals by adding them up (as shown) working out mean you have to do sum total / freq total mean= 92/50 hope this helped Claire, 15
Mean = a + [
Not sure what a "grouped of data" means!
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.
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.
find assumed mean data is 46,55,52,59,63,47,56,50,51,55 ,
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
it is used to find mean<median and mode of grouped data
Mean = a + [
Not sure what a "grouped of data" means!
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.
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.
The geometric-harmonic mean of grouped data can be formed as a sequence defined as g(n+1) = square root(g(n)*h(n)) and h(n+1) = (2/((1/g(n)) + (1/h(n)))). Essentially, this means both sequences will converge to the mean, which is the geometric harmonic mean.
Ungrouped data is data that is not grouped in a specific order. Grouped data is a set of data that has unique characteristics in common.
Differing from standard deviations, the coded deviation method finds the mean of grouped data from the assumed mean using unit deviations. This is a shorter way to find the mean.