Finding the average from the raw data requires a lot more calculations. By using frequency distributions you reduce the number of calculations.
The frequency distribution usually refers to empirical measurement and there is no formula for finding it. You simply count the number of times an observation falls within a given range.
Frequency is how often something occurs. Frequency distribution is how often something occurs within a group of separate categories or ranges. Say you had a list of exam scores from a class of students. You might want to find out how many people got between 0% and 10%, how many got between 11% and 20%, how many got between 21% and 30%, and so on. All you are interested in is the how many as compared to who actually got the scores. What you would be doing is creating a frequency distribution table. You would be finding out how many people got results in the various ranges, or how the frequency of results are distributed across these ranges.
There is no meaningful average wen data are categorical (qualitative). Also, the arithmetic mean is not a good measure of central tendency when the data distribution is skewed.
The formula for finding probability depends on the distribution function.
Usually a normal distribution.
find the frequency before finding the percent total -_- :)
You are finding their difference.
a=d/f distance / frequency
An angular frequency is a scalar measure of rate of rotation.
a factor is what you multiply by a multiple is the answer
Innovation is something new. Finding is rediscovering something.
find the difference mean