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Maths Project Work
The Study Of Certain Numerical Representatives of the
ungrouped data is called measures of central tendency
There are three measures of central tendency
The Mean Is The Average Of The
Numbers: A Calculated "Central" Value Of
A Set Of Numbers.
There Are Three Methods To Calculate
Out Mean And These Are:-
In Which :- a = assumed mean
d = x - a
In Which :- a = assumed mean
h = class size
u = x - a
h
The "median" is the "middle" value in the list of
numbers. To find the median, your numbers
have to be listed in numerical order, so you may
have to rewrite your list first.
For Ungrouped Data
If No. Of Observations , n = Odd
If No. Of Observations , n = Even
For grouped data
Where :- l = Lower limit of median class
n = Number of observations
CF = Cumulative frequency of previous
Class just before median class
F = Frequency of median class
h = Class size
Also known as an OGIVE, this is a
curve drawn by plotting the value of
the first class on a graph. The next
plot is the sum of the first and second
values, the third plot is the sum of the
first, second, and third values, and so
on.
Example:-
During the medical check-up of 35 students of a class, their
weights were recorded as follows:
Weight (in kg) Number of students
Less than 38 0
Less than 40 3
Less than 42 5
Less than 44 9
Less than 46 14
Less than 48 28
Less than 50 32
Less than 52 35
Draw a less than type ogive for the given data. Hence obtain the
median weight from the graph verify the result by using the
formula.
Weight (in kg)
upper class limits
Number of students
(cumulative frequency)
Less than 38 0
Less than 40 3
Less than 42 5
Less than 44 9
Less than 46 14
Less than 48 28
Less than 50 32
Less than 52 35
Solution:-
The given cumulative frequency distributions of less than type are
Taking upper class limits on x-axis and their respective cumulative
frequencies on y-axis, its ogive can be drawn as follows.
Here, n = 35
So, = 17.5
Mark the point A whose ordinate is 17.5 and its x-coordinate is
46.5. Therefore, median of this data is 46.5.
It can be observed that the difference between two consecutive
upper class limits is 2. The class marks with their respective
frequencies are obtained as below.
Weight (in kg) Frequency (f) Cumulative
frequency
Less than 38 0 0
38 − 40 3 − 0 = 3 3
40 − 42 5 − 3 = 2 5
42 − 44 9 − 5 = 4 9
44 − 46 14 − 9 = 5 14
46 − 48 28 − 14 = 14 28
48 − 50 32 − 28 = 4 32
50 − 52 35 − 32 = 3 35
Total (n) 35
The cumulative frequency just greater than is 28,
belonging to class interval 46 − 48.
Median class = 46 − 48
Lower class limit (l) of median class = 46
Frequency (f) of median class = 14
Cumulative frequency (cf) of class preceding median class = 14
Class size (h) = 2
Therefore, median of this data is 46.5.
Hence, the value of median is verified.
There Are 5 Types Of Graph Commonly Used In
Representing Statistical Data
Statistics For Class X
Statistics For Class X
Statistics For Class X
Statistics For Class X
Statistics For Class X
Statistics For Class X

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Statistics For Class X

  • 1.
  • 2.
  • 4.
  • 5.
  • 6. The Study Of Certain Numerical Representatives of the ungrouped data is called measures of central tendency There are three measures of central tendency
  • 7. The Mean Is The Average Of The Numbers: A Calculated "Central" Value Of A Set Of Numbers. There Are Three Methods To Calculate Out Mean And These Are:-
  • 8. In Which :- a = assumed mean d = x - a In Which :- a = assumed mean h = class size u = x - a h
  • 9.
  • 10.
  • 11. The "median" is the "middle" value in the list of numbers. To find the median, your numbers have to be listed in numerical order, so you may have to rewrite your list first. For Ungrouped Data If No. Of Observations , n = Odd
  • 12. If No. Of Observations , n = Even For grouped data Where :- l = Lower limit of median class n = Number of observations CF = Cumulative frequency of previous Class just before median class F = Frequency of median class h = Class size
  • 13.
  • 14. Also known as an OGIVE, this is a curve drawn by plotting the value of the first class on a graph. The next plot is the sum of the first and second values, the third plot is the sum of the first, second, and third values, and so on.
  • 15. Example:- During the medical check-up of 35 students of a class, their weights were recorded as follows: Weight (in kg) Number of students Less than 38 0 Less than 40 3 Less than 42 5 Less than 44 9 Less than 46 14 Less than 48 28 Less than 50 32 Less than 52 35 Draw a less than type ogive for the given data. Hence obtain the median weight from the graph verify the result by using the formula.
  • 16. Weight (in kg) upper class limits Number of students (cumulative frequency) Less than 38 0 Less than 40 3 Less than 42 5 Less than 44 9 Less than 46 14 Less than 48 28 Less than 50 32 Less than 52 35 Solution:- The given cumulative frequency distributions of less than type are Taking upper class limits on x-axis and their respective cumulative frequencies on y-axis, its ogive can be drawn as follows.
  • 17. Here, n = 35 So, = 17.5 Mark the point A whose ordinate is 17.5 and its x-coordinate is 46.5. Therefore, median of this data is 46.5.
  • 18. It can be observed that the difference between two consecutive upper class limits is 2. The class marks with their respective frequencies are obtained as below.
  • 19. Weight (in kg) Frequency (f) Cumulative frequency Less than 38 0 0 38 − 40 3 − 0 = 3 3 40 − 42 5 − 3 = 2 5 42 − 44 9 − 5 = 4 9 44 − 46 14 − 9 = 5 14 46 − 48 28 − 14 = 14 28 48 − 50 32 − 28 = 4 32 50 − 52 35 − 32 = 3 35 Total (n) 35 The cumulative frequency just greater than is 28, belonging to class interval 46 − 48. Median class = 46 − 48 Lower class limit (l) of median class = 46
  • 20. Frequency (f) of median class = 14 Cumulative frequency (cf) of class preceding median class = 14 Class size (h) = 2 Therefore, median of this data is 46.5. Hence, the value of median is verified.
  • 21. There Are 5 Types Of Graph Commonly Used In Representing Statistical Data

Editor's Notes

  1. "Lies, damned lies, and statistics" is a phrase describing the persuasive power of numbers, particularly the use ofstatistics to bolster weak arguments. It is also sometimes colloquially used to doubt statistics used to prove an opponent's point