Advertisements
Advertisements
Question
Compute coefficient of variation for team A and team B.
No. of goals | 0 | 1 | 2 | 3 | 4 |
No. of matches played by team A | 19 | 6 | 5 | 16 | 14 |
No. of matches played by team B | 16 | 16 | 5 | 18 | 15 |
Which team is more consistent?
Solution
Let f1 denote no. of goals of team A and f2 denote no. of goals of team B.
No. of goals (xi) |
No. of matches (f1i) |
No. of matches (f2i) |
f1ixi | f2ixi | f1ixi2 | f2ixi2 |
0 | 19 | 16 | 0 | 0 | 0 | 0 |
1 | 6 | 16 | 6 | 16 | 6 | 16 |
2 | 5 | 5 | 10 | 10 | 20 | 20 |
3 | 16 | 18 | 48 | 54 | 144 | 162 |
4 | 14 | 15 | 56 | 60 | 224 | 240 |
N1 = 60 | N2 = 70 | f1ixi = 120 | f2ixi = 140 | f1ixi2 = 394 | f2ixi2 = 438 |
For Team A,
`bar("x"_1) = (sum"f"_"1i""x"_"i")/"N"_1 = (120)/(60) = 2`
Standard deviation,
`sigma_("x"_1)^2 = 1/"N"_1sum"f"_"1i""x"_"i"^2- (bar"x"_1)^2 `
`sigma_("x"_1)^2 = 394/60 - (2)^2`
`sigma_("x"_1)^2` = 6.57 − 4
`sigma_("x"_1)^2` = 2.57
∴ `sigma_"x1" = sqrt2.57 = 1.60`
Co-efficient of variance;
C.V (x1) = `sigma_"x1"/bar("x"_1) × 100 = (1.60)/(2) × 100 = 80%`
For Team B,
`bar("x"_2) = (sum"f"_"2i""x"_"i")/"N"_2 = (140)/(70) = 2`
Standard deviation,
`sigma_("x"_2)^2 = 1/"N"_2sum"f"_"2i""x"_"i"^2- (bar"x"_2)^2 `
`sigma_("x"_2)^2 = 438/70- (2)^2`
`sigma_("x"_2)^2` = 6.26 − 4
`sigma_("x"_2)^2` = 2.26
∴ `sigma_"x2"= sqrt(2.26)` = 1.50
Co-efficient of variance;
C.V. (x2) = `sigma_"x2"/bar("x"_2) × 100 = 1.50/2 × 100 = 75%`
Since C.V. of team A > C.V. of team B.
∴ Team B is more consistent.
APPEARS IN
RELATED QUESTIONS
A group of 65 students of class XI have their average height is 150.4 cm with coefficient of variation 2.5%. What is the standard deviation of their height?
Two workers on the same job show the following results:
Worker P | Worker Q | |
Mean time for completing the job (hours) | 33 | 21 |
Standard Deviation (hours) | 9 | 7 |
Which worker seems to be faster in completing the job?
A company has two departments with 42 and 60 employees respectively. Their average weekly wages are Rs. 750 and Rs. 400. The standard deviations are 8 and 10 respectively. Which department has a larger variability in wages?
The following table gives weights of the students of class A. Calculate the Coefficient of variation. `("Given": sqrt0.8 = 0.8944)`
Weight (in kg) | Class A |
25 – 35 | 8 |
35 – 45 | 4 |
45 – 55 | 8 |
Given below is the information about marks obtained in Mathematics and Statistics by 100 students in a class. Which subject shows A the highest variability in marks?
Mathematics | Statistics | |
Mean | 20 | 25 |
S.D. | 2 | 3 |
The mean and standard deviations of two brands of watches are given below:
Brand-I | Brand-II | |
Mean | 36 months | 48 months |
S.D. | 8 months | 10 months |
Calculate a coefficient of variation of the two brands and interpret the results.
Calculate coefficient of variation for the data given below [Given : `sqrt(3.3)` = 1.8166]
C.I. | 5 – 15 | 15 – 25 | 25 – 35 | 35 – 45 | 45 – 55 | 55 – 65 | 65 – 75 |
f | 6 | 7 | 15 | 25 | 8 | 18 | 21 |
Calculate coefficient of variation of marks secured by a student in the exam, where the marks are: 85, 91, 96, 88, 98, 82
Find the coefficient of variation of a sample which has mean equal to 25 and standard deviation of 5
Two workers on the same job show the following results:
Worker P | Worker Q | |
Meantime for completing the job (hours) | 33 | 21 |
Standard Deviation (hours) | 9 | 7 |
- Regarding the time required to complete the job, which worker is more consistent?
- Which worker seems to be faster in completing the job?
A company has two departments with 42 and 60 employees respectively. Their average weekly wages are Rs. 750 and Rs. 400. The standard deviations are 8 and 10 respectively: Which department has larger variability in wages?
Answer the following :
Calculate coefficient of variation of the following data: 23, 27, 25, 28, 21, 14, 16, 12, 18, 16
Answer the following :
Following data relates to the distribution of weights of 100 boys and 80 girls in a school:
Boys | Girls | |
Mean | 60 | 47 |
Variance | 16 | 9 |
Which of the two is more variable?
Answer the following :
The mean and standard deviations of two bands of watches are given below :
Brand-I | Brand-II | |
Mean | 36 months | 48 months |
S.D. | 8 months | 10 months |
Calculate coefficient of variation of the two brands and interpret the results
Answer the following :
Calculate the coefficient of variation for the data given below:
Size (cm) | 5 - 8 | 8 - 11 | 11 - 14 | 14 - 17 | 17 - 20 | 20 - 23 | 23 - 26 |
No of items | 3 | 14 | 13 | 16 | 19 | 24 | 11 |
Answer the following :
Calculate coefficient of variation for the data given below:
Income (Rs.) |
3000 - 4000 | 4000 - 5000 | 5000 - 6000 | 6000 - 7000 | 7000 - 8000 | 8000 - 9000 | 9000 - 10000 |
No. of families | 24 | 13 | 15 | 28 | 12 | 8 | 10 |
Answer the following :
Compute coefficient of variations for the following data to show whether the variation is greater in the yield or in the area of the field:
Year | Area (in acres) |
Yield (in lakhs) |
2011 - 12 | 156 | 62 |
2012 - 13 | 135 | 70 |
2013 - 14 | 128 | 68 |
2014 - 15 | 117 | 76 |
2015 - 16 | 141 | 65 |
2016 - 17 | 154 | 69 |
2017 - 18 | 142 | 71 |