मराठी

Find the Mean Deviation from the Mean and from Median of the Following Distribution: Marks 0-10 10-20 20-30 30-40 40-50 No. of Students 5 8 15 16 6 - Mathematics

Advertisements
Advertisements

प्रश्न

Find the mean deviation from the mean and from median of the following distribution:

Marks 0-10 10-20 20-30 30-40 40-50
No. of students 5 8 15 16 6

उत्तर

Computation of mean distribution from the median: 

Marks  Number of Students
\[f_i\]
Cumulative Frequency  Midpoints
\[x_i\]
 

\[\left| d_i \right| = \left| x_i - 28 \right|\]
 

\[f_i \left| d_i \right|\]
 

\[f_i x_i\]
 

\[\left| x_i - 27 \right|\]

 

\[f_i \left| x_i - 27 \right|\]
0−10 5 5 5 23 115 25 22 110
10−20 8 13 15 13 104 120 12 96
20−30 15 28 25 3 45 375 2 30
30−40 16 44 35 7 112 560 8 128
40−50 6 50 45 17 102 270 18 108
 
\[N = 50\]
       
 

\[\sum^5_{i = 1} f_i \left| d_i \right| = 478\]
          1350   \[\sum^5_{i = 1} f_i \left| x_i - 27 \right| = 472\]

 

\[N = 50 , \frac{N}{2} = 25\]

The cumulative frequency just greater than  \[\frac{N}{2} = 25\] is 28 and the corresponding class is 20−30.
Thus, the median class is 20−30.

Using formula:

\[\therefore l = 20, F = 13, f = 15, h = 10 \]
\[ \text{ Median }  = l + {\frac{\frac{N}{2} - F}{f}} \times h \]
\[\text{ Substituting the values: } \]
\[\text{ Median }  = 20 + {\frac{25 - 13}{15}} \times 10 \]
\[ = 20 + 8 \]
\[ = 28\]
\[\text{ Mean distribution from the median } = {\frac{\sum^5_{i = 1} f_i \left| d_i \right|}{N}} \]
\[ = {\frac{478}{50}}\]
\[ = 9 . 56\]
\[ \text{ Mean } (\bar  {X}) = {\frac{\sum^5_{i = 1} f_i x_i}{N}}\]
\[ = {\frac{1350}{50}}\]
\[ = 27\]
\[\text{ Mean deviation from the mean } ={\frac{1}{50}} \times \sum^5_{i = 1} f_i \left|  {x_i - 27} \right|\]
\[ ={\frac{472}{50}}\]
\[ = 9 . 44\]

 Mean deviation from the median and the mean are 9.56 and 9.44, respectively.

 
shaalaa.com
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 32: Statistics - Exercise 32.3 [पृष्ठ १६]

APPEARS IN

आरडी शर्मा Mathematics [English] Class 11
पाठ 32 Statistics
Exercise 32.3 | Q 5 | पृष्ठ १६

व्हिडिओ ट्यूटोरियलVIEW ALL [1]

संबंधित प्रश्‍न

Find the mean deviation about the mean for the data.

38, 70, 48, 40, 42, 55, 63, 46, 54, 44


Find the mean deviation about the median for the data.

13, 17, 16, 14, 11, 13, 10, 16, 11, 18, 12, 17


Find the mean deviation about the median for the data.

36, 72, 46, 42, 60, 45, 53, 46, 51, 49


Find the mean deviation about the mean for the data.

Height in cms Number of boys
95 - 105 9
105 - 115 13
115 - 125 26
125 - 135 30
135 - 145 12
145 - 155 10

Find the mean deviation about median for the following data:

Marks Number of girls
0-10 6
10-20 8
20-30 14
30-40 16
40-50 4
50-60 2

Calculate the mean deviation about median age for the age distribution of 100 persons given below:

Age Number
16 - 20 5
21 - 25 6
26 - 30 12
31 - 35 14
36 - 40 26
41 - 45 12
46 - 50 16
51 - 55 9

Calculate the mean deviation about the median of the observation:

 34, 66, 30, 38, 44, 50, 40, 60, 42, 51


Calculate the mean deviation about the median of the observation:

 22, 24, 30, 27, 29, 31, 25, 28, 41, 42


Calculate the mean deviation about the median of the observation:

 38, 70, 48, 34, 63, 42, 55, 44, 53, 47

 

Calculate the mean deviation from the mean for the data: 

 4, 7, 8, 9, 10, 12, 13, 17


Calculate the mean deviation from the mean for the  data:

 13, 17, 16, 14, 11, 13, 10, 16, 11, 18, 12, 17


Calculate the mean deviation of the following income groups of five and seven members from their medians:

I
Income in Rs.
II
Income in Rs.
4000
4200
4400
4600
4800

 
 300
4000
4200
4400
4600
4800
5800

The lengths (in cm) of 10 rods in a shop are given below:
40.0, 52.3, 55.2, 72.9, 52.8, 79.0, 32.5, 15.2, 27.9, 30.2 

Find mean deviation from the mean also.

 

 


In 34, 66, 30, 38, 44, 50, 40, 60, 42, 51 find the number of observations lying between

\[\bar{ X } \]  − M.D. and

\[\bar{ X } \]  + M.D, where M.D. is the mean deviation from the mean.


In 38, 70, 48, 34, 63, 42, 55, 44, 53, 47 find the number of observations lying between

\[\bar { X } \]  − M.D. and

\[\bar { X } \]   + M.D, where M.D. is the mean deviation from the mean.


Find the mean deviation from the mean for the data:

xi 5 7 9 10 12 15
fi 8 6 2 2 2 6

Find the mean deviation from the mean for the data:

xi 5 10 15 20 25
fi 7 4 6 3 5

Find the mean deviation from the mean for the data:

xi 10 30 50 70 90
fi 4 24 28 16 8

Find the mean deviation from the median for the  data:

xi 15 21 27 30 35
fi 3 5 6 7 8

 


Find the mean deviation from the mean for the data:

Classes 95-105 105-115 115-125 125-135 135-145 145-155
Frequencies 9 13 16 26 30 12

 


Calculate mean deviation about median age for the age distribution of 100 persons given below:

Age: 16-20 21-25 26-30 31-35 36-40 41-45 46-50 51-55
Number of persons 5 6 12 14 26 12 16 9

Calculate the mean deviation about the mean for the following frequency distribution:
 

Class interval: 0–4 4–8 8–12 12–16 16–20
Frequency 4 6 8 5 2

The mean of 5 observations is 4.4 and their variance is 8.24. If three of the observations are 1, 2 and 6, find the other two observations.

 

The mean deviation from the median is


The mean deviation of the data 3, 10, 10, 4, 7, 10, 5 from the mean is


Let \[x_1 , x_2 , . . . , x_n\]  be n observations and  \[X\]  be their arithmetic mean. The standard deviation is given by

 

Mean and standard deviation of 100 items are 50 and 4, respectively. Find the sum of all the item and the sum of the squares of the items.


Calculate the mean deviation about the mean for the following frequency distribution:

Class interval 0 – 4 4 – 8 8 – 12 12 – 16 16 – 20
Frequency 4 6 8 5 2

Determine mean and standard deviation of first n terms of an A.P. whose first term is a and common difference is d.


While calculating the mean and variance of 10 readings, a student wrongly used the reading 52 for the correct reading 25. He obtained the mean and variance as 45 and 16 respectively. Find the correct mean and the variance.


The mean of 100 observations is 50 and their standard deviation is 5. The sum of all squares of all the observations is ______.


If `barx` is the mean of n values of x, then `sum_(i = 1)^n (x_i - barx)` is always equal to ______. If a has any value other than `barx`, then `sum_(i = 1)^n (x_i - barx)^2` is ______ than `sum(x_i - a)^2`


The sum of squares of the deviations of the values of the variable is ______ when taken about their arithmetic mean.


Let X = {x ∈ N: 1 ≤ x ≤ 17} and Y = {ax + b: x ∈ X and a, b ∈ R, a > 0}. If mean and variance of elements of Y are 17 and 216 respectively then a + b is equal to ______.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×