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The cumulative frequency or the probability of an observed value being less than or equal to a given value. By extension, it would also give the probability of a greater value being observed.
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∙ 14y ago
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Why relative frequency distribution better than frequency distribution?
Not all statisticians would agree that the statement is true.
How do you work out a cumulative frequency question?
This will purely depend on the question, if you get a frequency chart, (containing only the frequency and how often this was brought, take, etc depending on the question,) add up the frequency one by one and you will have the cumulative frequency. You then (depending on the question) make a chart or a box-plot and follow the question (i.e what if the correlation shown? this would depended on the trend of the data.)
A grouped frequency distribution is used when the range of data values is relatively small. True or false?
False. When the range is large you would use a grouped frequency distribution.
How do you make a cumalative frequency?
Hi im 15 n i am doing my maths coursework which requires me to make a few cumulative frequency curves. Basically all you do is add the frequency as you go along. for example if the frequencies were: 4 5 2 3 then the cumulative frequency would be 4 9 11 14 You would then use this by plotting it along the y axis. There is a little more but that's mainly what u need to know to get started.
When to use cumulative binomial probability?
When the event of interest is a cumulative event. For example, to find the probability of getting three Heads in 8 tosses of a fair coin you would use the regular binomial distribution. But to find the probability of up to 3 Heads you would use the cumulative distribution. This is because Prob("up to 3") = Prob(0 or 1 or 2 or 3) = Prob(0) + Prob(1) + Prob(2) + Prob(3) since these are mutually exclusive.
When representing a frequency distribution with a bar chart what would be the tallest bar?
It is called the mode.
Purpose of cumulative frequency?
Cumulative Frequency - The purpose is to help understand the total frequency of everything UP TO a given value. By example: You could have a list of women heights and the frequency (or probability or fraction of the population) that you'll find women of each height. Or you could have a list of women heights and the frequency that you'll find women of that height OR SHORTER. This is "cumulative" in that it adds all the frequencies from zero up to that point. Often cumulative frequency is shown in a graphic rather than as a list of values as above. You might have the axis on the left (Y-axis) go from 0% to 100% and the horizontal axis on the bottom (X-axis) go from 0 cm to 300 cm. The line on the chart would show the percentage of women with heights at or under that X-value, and of course, it would be very close to 0% up to 100cm (assuming adult women), then increase to nearly 100% at 200cm, and be flat at 100% up to 300cm.
Why use cumulative frequency?
Cumulative frequency gives the total number of events that occurred up to some value. Perhaps I want to show the number of accidents that occur in a year by the drivers age. A cumulative frequency plot would show me the total number of accidents from young drivers, say under the age of 21. I could easily come up with statistics such as 80% of all accidents occur from drivers ages 16 to 55, by examining the cumulative frequency. Cumulative frequencies are used extensively in risk or reliability analysis. If I'm trying to find out how long light bulbs last, I may want statistics on the number that last less than 1,000 hours, or the lifetime as indicated by the manufacturer. Another example: I may want to test the brakes of a car. I want to know the chances that the car will skid a long distance (further than the car is supposed to), so the cumulative frequency (long distances without stopping) is important.
What is the shape of a distribution when the mean and the median are about the same value?
That would provide some evidence that the distribution is symmetric about the mean (or median).
What is the shape of a distribution when the mean and the median are the same value?
That would provide some evidence that the distribution is symmetric about the mean (or median).
When each data class has the same frequency the distribution is symmetric?
No. It would not be symmetric if the data classes were of different widths.
How do you draw a cumulative frequency polygon?
first you draw another column and then from the grouped data you write the midpoints then you plot the frequency, and make sure also you are plotting the mid points for example: frequency 0<10 6 you would plot 5 in the x axis and 6 in the y axis
