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Statistics is one of the parts of mathematics in which we study
about the collecting, organizing, analyzing, interpreting and
presenting data.
Statistics is very useful in real life situations as it is easy to
understand if we represent a data in a particular number which
represents all numbers. This number is called the measure of
central tendancy.
 It is the average of “n” numbers, which is calculated
by dividing the sum of all the numbers by n.
 The mean of n values x1, x2, x3, ...... xn is given by
 If we arrange the numbers in an ascending or
descending order then the middle number of the series
will be median.
 If the number of series is even then the median will be
the average of two middle numbers.
 If n is odd then the median is observation.
 If the n is even then the median is the average
observation.
 The number which appears most frequently in the series then it
is said to be the mode of n numbers.
If the data is organized in such a way that there is no
class interval then we can calculate the mean by
Where, x1, x2, x3,...... xn are the observations
f1, f2, f3, ...... fn are the respective frequencies of the given
observations.
When the data is grouped in the form of class interval then the
mean can be calculated by three methods.
1) Direct Method:- n this method, we use a midpoint which
represents the whole class. It is called the class mark. It is the
average of the upper limit and the lower limit.
2) Formula of Direct Method
If we have to calculate the large numbers then we
can use this method to make our calculations
easy. In this method, we choose one of the x’s
as assumed mean and let it as “a”. Then we find
the deviation which is the difference of assumed
mean and each of the x. The rest of the method is
the same as the direct method.
Formula of Assumed Mean
In this method, we divide the values of d with a number
"h" to make our calculations easier.
Formula of Step Deviation Method
Where,
A = Assumed mean
f = Frequency
d = deviation from assumed mean
d = X – A , i = Class Size
i
In the ungrouped data the most frequently occurring no. is the mode of
the sequence, but in the grouped data we can find the class interval only
which has the maximum frequency number i.e. the modal class.
The value of mode in that modal class is calculated by
l = lower class limit of the modal class
h = class interval size
f1 =frequency of the modal class
f0 =frequency of the preceding class
f2 = frequency of the succeeding class
To find the median of a grouped data, we need to find the cumulative
frequency and n/2
Then we have to find the median class, which is the class of the
cumulative frequency near or greater than the value of n/2.
Cumulative Frequency is calculated by adding the frequencies of all
the classes preceding the given class.
Then substitute the values in the formula
Where l = lower limit of median class
n = no. of observations
cf = cumulative frequency of the class preceding to the median
class
f = frequency of the median class
h = size of class
Statistics presentation
Statistics presentation

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Statistics presentation

  • 1. Statistics is one of the parts of mathematics in which we study about the collecting, organizing, analyzing, interpreting and presenting data. Statistics is very useful in real life situations as it is easy to understand if we represent a data in a particular number which represents all numbers. This number is called the measure of central tendancy.
  • 2.  It is the average of “n” numbers, which is calculated by dividing the sum of all the numbers by n.  The mean of n values x1, x2, x3, ...... xn is given by
  • 3.  If we arrange the numbers in an ascending or descending order then the middle number of the series will be median.  If the number of series is even then the median will be the average of two middle numbers.  If n is odd then the median is observation.  If the n is even then the median is the average observation.  The number which appears most frequently in the series then it is said to be the mode of n numbers.
  • 4. If the data is organized in such a way that there is no class interval then we can calculate the mean by Where, x1, x2, x3,...... xn are the observations f1, f2, f3, ...... fn are the respective frequencies of the given observations.
  • 5. When the data is grouped in the form of class interval then the mean can be calculated by three methods. 1) Direct Method:- n this method, we use a midpoint which represents the whole class. It is called the class mark. It is the average of the upper limit and the lower limit. 2) Formula of Direct Method
  • 6. If we have to calculate the large numbers then we can use this method to make our calculations easy. In this method, we choose one of the x’s as assumed mean and let it as “a”. Then we find the deviation which is the difference of assumed mean and each of the x. The rest of the method is the same as the direct method. Formula of Assumed Mean
  • 7. In this method, we divide the values of d with a number "h" to make our calculations easier. Formula of Step Deviation Method Where, A = Assumed mean f = Frequency d = deviation from assumed mean d = X – A , i = Class Size i
  • 8. In the ungrouped data the most frequently occurring no. is the mode of the sequence, but in the grouped data we can find the class interval only which has the maximum frequency number i.e. the modal class. The value of mode in that modal class is calculated by l = lower class limit of the modal class h = class interval size f1 =frequency of the modal class f0 =frequency of the preceding class f2 = frequency of the succeeding class
  • 9. To find the median of a grouped data, we need to find the cumulative frequency and n/2 Then we have to find the median class, which is the class of the cumulative frequency near or greater than the value of n/2. Cumulative Frequency is calculated by adding the frequencies of all the classes preceding the given class. Then substitute the values in the formula Where l = lower limit of median class n = no. of observations cf = cumulative frequency of the class preceding to the median class f = frequency of the median class h = size of class