There may or may not be a benefit: it depends on the underlying distributions. Using the standard normal distribution, whatever the circumstances is naive and irresponsible. Also, it depends on what parameter you are testing for. For comparing whether or not two distributions are the same, tests such as the Kolmogorov-Smirnov test or the Chi-Square goodness of fit test are often better. For testing the equality of variance, an F-test may be better.
Frequency distributions can: C condense and summarize large amounts of data in a useful format C describe all variable types C facilitate graphic presentation of data C begin to identify population characteristics C permit cautious comparison of data sets
The graphical method is a method used to solve algebraical problems by using graphs.
graphs give a trend of variables and the trend can be studied using the the extent they usually portray and the graphs are not emperical methods they give interpolated relationships hence a reduced uncertainities
It is important to be careful when doing anything!
to make patterns easier to determine
Organizing the data into a frequency distribution can make patterns within the data more evident.
Finding the average from the raw data requires a lot more calculations. By using frequency distributions you reduce the number of calculations.
Organizing the data into a frequency distribution may make patterns within the data more evident.
Fourier analysis Frequency-domain graphs
I like graphs, no disadvantages.
a circle graph is in a circular form and represents your data using pieces inside of itbar graphs represents data using bars
There may or may not be a benefit: it depends on the underlying distributions. Using the standard normal distribution, whatever the circumstances is naive and irresponsible. Also, it depends on what parameter you are testing for. For comparing whether or not two distributions are the same, tests such as the Kolmogorov-Smirnov test or the Chi-Square goodness of fit test are often better. For testing the equality of variance, an F-test may be better.
An advantage to using graphs and diagrams in presentations is that it is easy for your audience to see what you are describing. Graphs and diagrams help get your point across.
Frequency distributions can: C condense and summarize large amounts of data in a useful format C describe all variable types C facilitate graphic presentation of data C begin to identify population characteristics C permit cautious comparison of data sets
milk a cow
"what are the benefit of using EOQ?"