हिंदी

The Variance of 20 Observations is 5. If Each Observation is Multiplied by 2, Find the Variance of the Resulting Observations.

Advertisements
Advertisements

प्रश्न

The variance of 20 observations is 5. If each observation is multiplied by 2, find the variance of the resulting observations.

 
Advertisements

उत्तर

Let \[x_1 , x_2 , x_3 , . . . , x_{20}\]  be  the 20 given observations.

\[\text{ Variance}  (X) = 5\]

\[\text{ Variance } (X) = {\frac{1}{20}} \times \sum \left( {x_i - X} \right)^2 = 5 (\text{ Here , is the mean of the given observations }  . )\]

Let u1,u2,,u3, ..., u20 be the new observations, such that

\[u_i = 2 x_i (\text{ for }  i = 1, 2, 3, . . . , 20) . . . (1)\]

\[\text{ Mean } = \bar{U} = \frac{\sum^{20}_{i = 1} u_i}{n} \]

\[ = \frac{\sum^{20}_{i = 1} 2 x_i}{20} \left[ \text{ substituting} u_i \text{ from eq (1) and taking n as }  20 \right]\]

\[ = 2 \times \frac{\sum^{20}_{i = 1}{ x_i} }{20} \]

\[ = 2 \bar{X}\]

\[u_i - \bar{U} = 2 x_i - 2 \bar{X} (\text{ for } i = 1, 2, . . . , 20)\]

\[ = 2\left( x_i - \bar{X} \right) \]

\[ \left( u_i - \bar{U} \right)^2 = \left( 2\left( x_i - \bar{X} \right) \right)^2 \left(\text{  squaring both the sides } \right)\]

\[ = 4 \left( x_i - \bar{X} \right)^2 \]

\[ \therefore \sum^{20}_{i = 1} \left( u_i - \bar{U} \right)^2 = \sum 4^{20}_{i = 1} \left( x_i - \bar{X} \right)^2 \]

\[\frac{\sum^{20}_{i = 1} \left( u_i - \bar{U} \right)^2}{20} = \frac{\sum 4^{20}_{i = 1} \left( x_i - \bar{X} \right)^2}{20}\]

\[ = 4 \frac{\sum^{20}_{i = 1} \left( x_i - \bar{X} \right)^2}{20}\]

\[\text{ Variance } (U) = 4 \times \text{ Variance }(X)\]

\[ = 4 \times 5 \]

\[ = 20\]

 Thus, variance of the new observations is 20.

 
shaalaa.com
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 32: Statistics - Exercise 32.4 [पृष्ठ २८]

APPEARS IN

आर.डी. शर्मा Mathematics [English] Class 11
अध्याय 32 Statistics
Exercise 32.4 | Q 2 | पृष्ठ २८

संबंधित प्रश्न

Find the mean and variance for the first n natural numbers.


Find the mean and variance for the first 10 multiples of 3.


Find the mean and variance for the data.

xi 6 10 14 18 24 28 30
fi 2 4 7 12 8 4 3

Find the mean and variance for the data.

xi 92 93 97 98 102 104 109
fi 3 2 3 2 6 3 3

The following is the record of goals scored by team A in a football session:

No. of goals scored

0

1

2

3

4

No. of matches

1

9

7

5

3

For the team B, mean number of goals scored per match was 2 with a standard deviation 1.25 goals. Find which team may be considered more consistent?


The sum and sum of squares corresponding to length (in cm) and weight (in gm) of 50 plant products are given below:

`sum_(i-1)^50 x_i = 212, sum_(i=1)^50 x_i^2 = 902.8, sum_(i=1)^50 y_i = 261, sum_(i = 1)^50 y_i^2 = 1457.6`

Which is more varying, the length or weight?

 

The mean and standard deviation of a group of 100 observations were found to be 20 and 3, respectively. Later on it was found that three observations were incorrect, which were recorded as 21, 21 and 18. Find the mean and standard deviation if the incorrect observations are omitted.


Find the mean, variance and standard deviation for the data:

6, 7, 10, 12, 13, 4, 8, 12.


The variance of 15 observations is 4. If each observation is increased by 9, find the variance of the resulting observations.


The mean and standard deviation of a group of 100 observations were found to be 20 and 3 respectively. Later on it was found that three observations were incorrect, which were recorded as 21, 21 and 18. Find the mean and standard deviation if the incorrect observations were omitted.


Show that the two formulae for the standard deviation of ungrouped data 

\[\sigma = \sqrt{\frac{1}{n} \sum \left( x_i - X \right)^2_{}}\] and 

\[\sigma' = \sqrt{\frac{1}{n} \sum x_i^2 - X^2_{}}\]  are equivalent, where \[X = \frac{1}{n}\sum_{} x_i\]

 

 

Find the standard deviation for the following data:

x : 3 8 13 18 23
f : 7 10 15 10 6

Calculate the mean and S.D. for the following data:

Expenditure in Rs: 0-10 10-20 20-30 30-40 40-50
Frequency: 14 13 27 21 15

Calculate the mean, median and standard deviation of the following distribution:

Class-interval: 31-35 36-40 41-45 46-50 51-55 56-60 61-65 66-70
Frequency: 2 3 8 12 16 5 2 3

Mean and standard deviation of 100 observations were found to be 40 and 10 respectively. If at the time of calculation two observations were wrongly taken as 30 and 70 in place of 3 and 27 respectively, find the correct standard deviation.      


Coefficient of variation of two distributions are 60% and 70% and their standard deviations are 21 and 16 respectively. What are their arithmetic means?


The mean and standard deviation of marks obtained by 50 students of a class in three subjects, mathematics, physics and chemistry are given below: 

Subject Mathematics Physics Chemistry
Mean 42 32 40.9
Standard Deviation 12 15 20

Which of the three subjects shows the highest variability in marks and which shows the lowest?

 

Find the coefficient of variation for the following data:

Size (in cms): 10-15 15-20 20-25 25-30 30-35 35-40
No. of items: 2 8 20 35 20 15

If the sum of the squares of deviations for 10 observations taken from their mean is 2.5, then write the value of standard deviation.

 

If each observation of a raw data whose standard deviation is σ is multiplied by a, then write the S.D. of the new set of observations.

 

If v is the variance and σ is the standard deviation, then

 


If the S.D. of a set of observations is 8 and if each observation is divided by −2, the S.D. of the new set of observations will be


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


Let x1x2, ..., xn be n observations. Let  \[y_i = a x_i + b\]  for i = 1, 2, 3, ..., n, where a and b are constants. If the mean of \[x_i 's\]  is 48 and their standard deviation is 12, the mean of \[y_i 's\]  is 55 and standard deviation of \[y_i 's\]  is 15, the values of a and are 

 
 
 
   

The standard deviation of the observations 6, 5, 9, 13, 12, 8, 10 is


Two sets each of 20 observations, have the same standard derivation 5. The first set has a mean 17 and the second a mean 22. Determine the standard deviation of the set obtained by combining the given two sets.


The mean life of a sample of 60 bulbs was 650 hours and the standard deviation was 8 hours. A second sample of 80 bulbs has a mean life of 660 hours and standard deviation 7 hours. Find the overall standard deviation.


Coefficient of variation of two distributions are 50 and 60, and their arithmetic means are 30 and 25 respectively. Difference of their standard deviation is ______.


If the variance of a data is 121, then the standard deviation of the data is ______.


The standard deviation is ______to the mean deviation taken from the arithmetic mean.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×