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set all you numbers up in order from smallest to largest. then find the middle. if there are two number in the middle, add them up and divide by two. Example: set of numbers - 8,6,3,4,10,15,36 put in order from smallest to largest - 3,4,6,8,10,15,36 now find the middle number - 8 8 is then my median of this sequence

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Q: How do you find the median value on a cumulative frequency?

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On the cumulative frequecy diagram, find 50% on the frequency [usually, vertical] axis. Draw a line to the graph and then drop a perpendicular to the other [horizontal] axis. Where it hits the second axis is the median value.

The main utility of a cumulative frequency curve is to show the distribution of the data points and its skew. It can be used to find the median, the upper and lower quartiles, and the range of the data.

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.

You just need to add up the frequency total one by one to find the cumulative frequency of a certain set of data.

How do you find missed frequency if median and mode are given

cumulative percentage = (cumulative frequency ÷ n) x 100

You integrate the probability distribution function to get the cumulative distribution function (cdf). Then find the value of the random variable for which cdf = 0.5.

look at this site - the info on how to find frequency, relative & relative cumulative frequency is very clear and easy to understand :) http://cnx.org/content/m16012/latest/ look at this site - the info on how to find frequency, relative & relative cumulative frequency is very clear and easy to understand :) http://cnx.org/content/m16012/latest/

Median cannot be used for qualitative data (a mode can).The sampling distribution of the median is complicated (the mean is well studied).Median can usually be used for data that can be ordered without there being a ratio scale. For example, "small-medium-large", or "very negative-negative-neutral-positive-very positive". A mean cannot be calculated without arbitrarily assigning a numerical value to the terms.A median is not dependent on all the values which means that it is not distorted by outliers (extreme values).It is easy to find the median value from cumulative frequency charts.

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.

32,23,15,30,12,X;the median+25

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.

The answer will depend on what you mean by "solve". Find the mean, median, mode, variance, standard error, standard deviation, quartiles, deciles, percentiles, cumulative distribution, goodness of fit to some distribution etc. The question needs to be a bit more specific than "solve".

you must have the cumulative frequency and calculate the upper and lower quartiles. Firstly, you must (from a set of data,) find the highest and lowest value, on a number line, plot these down using a short line. Next plot your median, upper and lower quartile range, plot these on using a larger line and join the lines up to form a box plot. You are now done!

Given the median and trapezoid MOPN, what is the value of x?

it is used to find mean<median and mode of grouped data

No. You can do that from a bar graph, a stem and leaf chart, a scatter plot, a cumulative frequency chart.

The median is the number in the middle. You find the median, by putting the values in order from lowest to highest, then find the number that is exactly in the middle. If you only have a single value, one could argue that it is in the middle. That would make the single value the median. One could also argue that there no numbers on either side to the definition makes no sense and there is no median of a single value.

The median of a single observation is the value of that observation. So the median of 90 is 90. Not much point in going to all that trouble, but there you go.

To find the median temperature over a given period of time, arrange the recorded temperatures in numerical order and take the value in the centre.

to find the median in a set of numbers you have to order them from the smallest to the largest and find the middle value e.g. 2,4,3,7,1 1,2,3,4,7 the median is 3

You will need endpoints of your range (for example age: 12-14, 15-17. The endpoints are 14 and 17). You will also need the cumulative total of the relative frequencies (add all relative frequencies). -To find the relative frequency = value over total (ex, age 12-14, 51 have diabetes, 90 do not. The total of those having diabetes is 3800. So for the relative frequency of ages 12-14, it is 51/3800=0.01342. Do this for all ranges). -To find the Cumulative Frequency: add all these frequencies (separate for "yes" diabetes and "no" diabetes). Use endpoints of your range for the x-axis (horizontal axis). Then use the cumulative frequencies as your y-axis (vertical axis).

To find the median of data, you first order all the data from smallest to largest. The second step is to find the middle value on the list. If there are an odd number of values, this is easy, you simply take the middle value and that's the median. If there are an even number of values, you find where the middle would be, and then look at the numbers either side and take the mean of those two numbers, and that's your median.

The median can be found out by drawing a perpendicular to the x-axis from the intersection point of both the ogives

Range, Mean, Median, and Mode all relate to a set of values. To find the range of the set, subtract the smallest value from the largest value . To find the mean, add all the values together and divide by the total number of values in the set. To find the median, sort the values from smallest to greatest, and find the value that is in the middle of the sorted list. To find the mode, simply find the value or values in the set that appear the most often.