English

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 – 95

Advertisements
Advertisements

Question

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?

Chart
Sum
Advertisements

Solution

Here h = 100

Let A (assumed mean) = 800.

Length of life
(in hour)
Mid values
`(x_i)`
`y_i = (x_i - A)/10` Factory A Factory B
      `f_i` `f_iy_i` `f_iy_i^2` `f_i` `f_iy_i` `f_iy_i^2`
550 – 650 600 –2 10 –20 40 8 –16 32
650 – 750 700 –1 22 –22 22 60 – 60 60
750 – 850 800 0 52 0 0 24 0 0
850 – 950 900 1 20 20 20 16 16 16
950 – 1050 1000 2 16 32 64 12 24 48
      120 10 146 120 –36 156

For factory A

Mean `(barx) = 800 + 10/120 xx 100` = 816.67 hours

S.D. = `100/120 sqrt(120(146) - 100)` = 109.98 

Therefore, Coefficient of variation (C.V.) = `(S.D.)/barx xx 100`

= `109.98/816.67 xx 100`

= 13.47

For factory B

Mean = `800 + (-36)/120 100` = 770

S.D. = `100/120 sqrt(120(156) - (-36)^2)` = 110

Therefore, Coefficient of variation = `(S.D.)/"Mean" xx 100`

= `110/770 xx 100`

= 14.29

Since C.V. of factory B > C.V. of factory A

⇒ Factory B has more variability which means bulbs of factory A are more consistent.

shaalaa.com
  Is there an error in this question or solution?
Chapter 15: Statistics - Solved Examples [Page 276]

APPEARS IN

NCERT Exemplar Mathematics Exemplar [English] Class 11
Chapter 15 Statistics
Solved Examples | Q 6 | Page 276

RELATED QUESTIONS

Find the mean and variance for the data.

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


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 92 93 97 98 102 104 109
fi 3 2 3 2 6 3 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 variance of eight observations are 9 and 9.25, respectively. If six of the observations are 6, 7, 10, 12, 12 and 13, find the remaining two observations.


The mean and variance of 7 observations are 8 and 16, respectively. If five of the observations are 2, 4, 10, 12 and 14. Find the remaining two 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 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?


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.


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

 

Calculate the standard deviation for the following data:

Class: 0-30 30-60 60-90 90-120 120-150 150-180 180-210
Frequency: 9 17 43 82 81 44 24

Calculate the A.M. and S.D. for the following distribution:

Class: 0-10 10-20 20-30 30-40 40-50 50-60 60-70 70-80
Frequency: 18 16 15 12 10 5 2 1

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

Find the mean and variance of frequency distribution given below:

xi: 1 ≤ < 3 3 ≤ < 5 5 ≤ < 7 7 ≤ < 10
fi: 6 4 5 1

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.  


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?


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

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

 

Let abcdbe the observations with mean m and standard deviation s. The standard deviation of the observations a + kb + kc + kd + ke + k is


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


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 standard deviation of the data 6, 5, 9, 13, 12, 8, 10 is ______.


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 ______.


The standard deviation of a data is ______ of any change in orgin, but is ______ on the change of scale.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×