advantages:
-very informative when examining how values are changing within the data set.
-shows the running total of frequencies from the lowest interval up.
disadvantages:
-difficult to compare the frequencies between each data group.
by Mr. Hsia
obsidian's advantages are its really pretty
The advantages is that it can be a warm climate disadvantantages is extriem weather
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the advantages are vegetables and rice are their basic foods and they are very healthy. The disadvantages are that the food tends to be high in bad carbs, because of the noodles.
Advantages 1. C.F curves can be use to read off values both way round 2. The original information from a grouped frequency distribution can be onbtained from the C.F curves I dunno any disadvantages!!
Given a frequency table,the first cumulative frequency is the same as the first frequency;the second cumulative frequency is the sum of the first cumulative frequency and the second [ordinary] frequency;the third cumulative frequency is the sum of the second cumulative frequency and the third [ordinary] frequency;and so on.An alternative definition is that the cumulative frequency for any value is the sum of all the frequencies less than or equal to that value.
Cumulative frequency is the running total of class frequencies.
a cumulative frequency graph mearsure the cumulative frequency on the y-axis and the class boundaries on the x-axis
The cumulative frequency is the running total of numbers, such as, frequency cumulative frequency 4 4 5 11 6 17 7 24 8 32
Advantages are getting a steeper decline in the band. Disadvantages are having more distortion in the wavelength frequency available.
Cumulative frequency graphs provide a visual representation of the cumulative totals of data, making it easy to determine percentiles and understand distribution trends. One advantage is that they allow for quick interpretation of how data accumulates over time or across categories. However, a disadvantage is that they can obscure individual data points and may not convey specific values as clearly as other graph types, potentially leading to misinterpretation. Additionally, they require a clear understanding of cumulative data, which may not be intuitive for all users.
It is 3 more than the cumulative frequency up to the previous class or value.
By adding up the (one by one,) the frequency total in order to find the cumulative frequency, most commonly, you just then plot this on a cumulative frequency graph or box plot.
To calculate cumulative frequency, you first need to have a frequency distribution table. Start by adding up the frequencies of the first category. Then, for each subsequent category, add the frequency to the cumulative frequency of the previous category. The final cumulative frequency will be the total number of observations in the data set.
Cumulative percentage is another way of expressing frequency distribution. It calculates the percentage of the cumulative frequency within each interval, much as relative frequency distribution calculates the percentage of frequency.
It is the frequency for that point.