English

The Standard Deviation of the Data:X:1aa2....Anf:Nc0nc1nc2....Ncn is - Mathematics

Advertisements
Advertisements

Question

The standard deviation of the data:

x: 1 a a2 .... an
f: nC0 nC1 nC2 .... nCn

is

Options

  • \[\left( \frac{1 + a^2}{2} \right)^n - \left( \frac{1 + a}{2} \right)^n\]

     
  •  \[\left( \frac{1 + a^2}{2} \right)^{2n} - \left( \frac{1 + a}{2} \right)^n\]

  •  \[\left( \frac{1 + a}{2} \right)^{2n} - \left( \frac{1 + a^2}{2} \right)^n\]

     

  • none of these

     
MCQ
Advertisements

Solution

none of these

xi fi fixi
 

\[{x_i}^2\]
 

\[f_i {x_i}^2\]
1
 

\[^{n}{}{C}_0\]
\[^{n}{}{C}_0\]
1 1
a
\[{n}{}{C}_1\]
\[^{n}{}{C}_1\]
a2 a2 
\[^{n}{}{C}_1\]
a2
\[^{n}{}{C}_2\]
a2
=\[^{n}{}{C}_2\]
a4   a4 
\[^{n}{}{C}_2\]
a3
 

\[^{n}{}{C}_3\]
 a3
\[^{n}{}{C}_3\]
a6  a6  
 

\[^{n}{}{C}_3\]
:
:
:
:
:
:
:
:
:
:
:
:
:
 
:
:
:
:
an
 

\[^{n}{}{C}_n\]
an 
\[^{n}{}{C}_n\]
a2n a2n
\[^{n}{}{C}_n\]
 
\[\sum^n_{i = 1} f_i = 2^n\]
\[\sum^n_{i = 1} f_i x_i = \left( 1 + a \right)^n\]
 
\[\sum^n_{i = 1} f_i {x_i}^2 = \left( 1 + a^2 \right) {}^n\]

`"Number of terms," N = \sum_{i = 1}^2  f_i = 2^n `

` \sum _{i = 1}^2 f_i x_i = ^nC_0 + a ^nC_1 + a^2 "^nC_2 + . . . + a"^n "^nC_n = \left( 1 + a \right)^n `

`X = \frac{\sum_{i = 1}^n f_ix_i}{N}`

\[ = \frac{\left( 1 + a \right)^n}{2^n}\]

` \sum_{i = 1}^n f_i x_i^2 = \left( 1 + a^2 \right)^n`

`\sigma^2 = \text{ Variance } \left( X \right) = \frac{1}{N} \sum_{i = 1}^n f_i_x_i^2 - \left( {\sum_{i = 1}^n f_i x_i}/{N} \right)^2 `

\[ = \frac{\left( 1 + a^2 \right)^n}{2^n} - \left[ \frac{\left( 1 + a \right)^n}{2^n} \right]^2 \]

\[ = \left[ \frac{1 + a^2}{2} \right]^n - \left[ \frac{1 + a}{2} \right]^{2n} \]

\[\sigma = \sqrt{\text{ Variance }  \left( X \right)} \]

\[ = \sqrt[]{\left[ \frac{1 + a^2}{2} \right]^n - \left[ \frac{1 + a}{2} \right]^{2n}}\]

 
shaalaa.com
  Is there an error in this question or solution?
Chapter 32: Statistics - Exercise 32.9 [Page 50]

APPEARS IN

RD Sharma Mathematics [English] Class 11
Chapter 32 Statistics
Exercise 32.9 | Q 6 | Page 50

RELATED QUESTIONS

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


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


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 six observations are 8 and 4, respectively. If each observation is multiplied by 3, find the new mean and new standard deviation of the resulting observations


Given that  `barx` is the mean and σ2 is the variance of n observations x1, x2, …,xn. Prove that the mean and variance of the observations ax1, ax2, ax3, …,axare `abarx` and a2 σ2, respectively (a ≠ 0).


The mean and standard deviation of 20 observations are found to be 10 and 2, respectively. On rechecking, it was found that an observation 8 was incorrect. Calculate the correct mean and standard deviation in each of the following cases:

  1. If wrong item is omitted.
  2. If it is replaced by 12.

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

 

For a group of 200 candidates, the mean and standard deviations of scores were found to be 40 and 15 respectively. Later on it was discovered that the scores of 43 and 35 were misread as 34 and 53 respectively. Find the correct mean and standard deviation.

 

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 \[X = \frac{1}{n}\sum_{} x_i\]

 

 

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

The weight of coffee in 70 jars is shown in the following table:                                                  

Weight (in grams): 200–201 201–202 202–203 203–204 204–205 205–206
Frequency: 13 27 18 10 1 1

Determine the variance and standard deviation of the above distribution.  


Two plants A and B of a factory show following results about the number of workers and the wages paid to them 

  Plant A Plant B
No. of workers 5000 6000
Average monthly wages Rs 2500 Rs 2500
Variance of distribution of wages 81 100

In which plant A or B is there greater variability in individual wages?

 

 


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?

 

If X and Y are two variates connected by the relation

\[Y = \frac{aX + b}{c}\]  and Var (X) = σ2, then write the expression for the standard deviation of Y.
 
 

In a series of 20 observations, 10 observations are each equal to k and each of the remaining half is equal to − k. If the standard deviation of the observations is 2, then write the value of k.


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 standard deviation of a variable X is σ, then the standard deviation of variable \[\frac{a X + b}{c}\] is

 

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


Life of bulbs produced by two factories A and B are given below:

Length of life
(in hours)
Factory A
(Number of bulbs)
Factory B
(Number of bulbs)
550 – 650 10 8
650 – 750 22 60
750 – 850 52 24
850 – 950 20 16
950 – 1050 16 12
  120 120

The bulbs of which factory are more consistent from the point of view of length of life?


A set of n values x1, x2, ..., xn has standard deviation 6. The standard deviation of n values x1 + k, x2 + k, ..., xn + k will be ______.


Find the standard deviation of the first n natural numbers.


The mean and standard deviation of some data for the time taken to complete a test are calculated with the following results:
Number of observations = 25, mean = 18.2 seconds, standard deviation = 3.25 seconds. Further, another set of 15 observations x1, x2, ..., x15, also in seconds, is now available and we have `sum_(i = 1)^15 x_i` = 279 and `sum_(i  = 1)^15 x^2` = 5524. Calculate the standard derivation based on all 40 observations.


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.


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.


Let x1, x2, ..., xn be n observations and `barx` be their arithmetic mean. The formula for the standard deviation is given by ______.


Let a, b, c, d, e be the observations with mean m and standard deviation s. The standard deviation of the observations a + k, b + k, c + k, d + k, e + k is ______.


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


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×