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| Home | Inclusive Series An inclusive series includes the upper limit and the lower limit in the class interval.For example in the class interval 20-29 the frequencies(number of students) for 20 and 29 are included. In such series the upper limit of class interval does not repeat itself as a lower limit of the next class interval. Thus there is a gap between the upper limit of a class interval and the lower limit of the next class interval. For example 20-29, 30-39, 40-49, 50-59 etc represents an inclusive series. Thus all the items ranging between 20-29 are included in that class interval. Likewise, all items ranging between 30-39 would be included in that class interval. Illustration:
This is an inclusive series of the pocket expenses of the students of a class.Inclusive series are used when there is some definite difference between the values of various items in the population. In the above table if a student has 29.5 or 39.5 pocket expenses these can be expressed only if the inclusive series is converted into an exclusive series.To see how to convert an inclusive series into an exclusive series click here. MEAN- It is the sum
total of all the observations divided by the number of
observations 1.Direct
Method
Mean = Let L1=lower limit
Mean = Thus average pocket expenses are $37.83 Mean = A + L1=lower limit of
the class interval
Mean = 44.5 +
(-200)/30 Mean = A + ( Where d'= d/C A=44.5
Mean = 44.5 +
(-20/30) * 10 Therefore the average pocket expensise are $37.83 MEDIAN - It is the middle most value of the given data We will have to
first convert the inclusive series into an exclusive
series.To see how to do this click here.
Median = L + [ (N/2 - C.M) / f ]*C Over here N is the
C.M of the last class interval.First find the the N/2
term. L=the lower limit
of the class interval.It is 439.5 Median = 439.5 + [
(100 - 76)/54]*10 To calculate the median graphically click here MODE- It is the observation that has appeared the maximum number of times. We will have to
first convert the inclusive series into an exclusive
series for calculating the mode.To see how to do this click here.
A glance at the above table reveals that 39.5-49.5 is the Modal class interval.The actual value of mode is given by: z(mode)= L1 + [(f1-f0)
/ (2f1-f0 -f2)] * i Over here z(mode)= 39.5 +
[(30-18) / (2*30-18 -16)] * 10 To see how to calculate mode graphically using a histogram, click here.
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