Advertisements
Advertisements
प्रश्न
The variance of 15 observations is 4. If each observation is increased by 9, find the variance of the resulting observations.
उत्तर
Let x1,,x2,,x3 , ..., x15 be the given observations.
Variance X is given as 4.
If \[\bar{ X} \] is the mean of the given observations, then we get:
\[\Rightarrow \text{ Variance } X = \frac{1}{15} \sum^{15}_{i = 1} \left( x_i - X \right)^2 \]
\[ = 4\]
Let u1,u2,u3 ... u15 be the new observations such that
\[u_i = x_i + 9 \left( for i = 1, 2 , 3, . . . , 15 \right) . . . . (1) \]
\[ \bar{U} = \frac{1}{n} \sum^{15}_{i = 1} u_i \]
\[ = \frac{1}{15} \sum^{15}_{i = 1} \left( x_i + 9 \right) \]
\[ = \frac{1}{15} \sum^{15}_{i = 1} x_i+ \frac{9 \times 15}{15} \left[ \text{as } \sum^{15}_{i = 1} 9 = 9 \times 15 \right]\]
\[ = X + 9 . . . (2)\]
\[ u_i - \bar{U} = \left( x_i + 9 \right) - \left( 9 + \bar{X} \right) \left[\text{ from eq (1) and eq (2) } \right]\]
\[ = x_i - \bar{X}\]
\[ \Rightarrow \frac{1}{15} \times \left( u_i - \bar{U} \right)^2 = \frac{1}{15} \left( x_i - \bar{X} \right)^2 \left[ \text{ squaring both thesides and then dividing by 15} \right]\]
\[ \Rightarrow \frac{1}{15} \times \sum^{15}_{i = 1} \left( u_i - \bar{U} \right)^2 = \frac{1}{15} \times \sum^{15}_{i = 1} \left( x_i - \bar{X} \right)^2 \]
\[ \Rightarrow \frac{1}{15} \times \sum^{15}_{i = 1} \left( u_i - \bar{U} \right)^2 = 4\]
\[ \Rightarrow \text{ Variance } \left( U \right) = 4 \]
Thus, variance of the new observation is 4.
APPEARS IN
संबंधित प्रश्न
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 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 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:
- If wrong item is omitted.
- If it is replaced by 12.
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 mean, variance and standard deviation for the data:
2, 4, 5, 6, 8, 17.
Find the mean, variance and standard deviation for the data:
6, 7, 10, 12, 13, 4, 8, 12.
The variance of 20 observations is 5. If each observation is multiplied by 2, find the variance of the resulting observations.
The mean and variance of 8 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.
Find the standard deviation for the following data:
x : | 3 | 8 | 13 | 18 | 23 |
f : | 7 | 10 | 15 | 10 | 6 |
A student obtained the mean and standard deviation of 100 observations as 40 and 5.1 respectively. It was later found that one observation was wrongly copied as 50, the correct figure being 40. Find the correct mean and S.D.
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.
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?
From the data given below state which group is more variable, G1 or G2?
Marks | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 |
Group G1 | 9 | 17 | 32 | 33 | 40 | 10 | 9 |
Group G2 | 10 | 20 | 30 | 25 | 43 | 15 | 7 |
If v is the variance and σ is the standard deviation, then
The standard deviation of the data:
x: | 1 | a | a2 | .... | an |
f: | nC0 | nC1 | nC2 | .... | nCn |
is
The mean of 100 observations is 50 and their standard deviation is 5. The sum of all squares of all the observations is
Let x1, x2, ..., 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 b are
The standard deviation of the observations 6, 5, 9, 13, 12, 8, 10 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 ______.
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.
If for distribution `sum(x - 5)` = 3, `sum(x - 5)^2` = 43 and total number of items is 18. Find the mean and standard deviation.
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 x1, x2, x3, x4, x5 be the observations with mean m and standard deviation s. The standard deviation of the observations kx1, kx2, kx3, kx4, kx5 is ______.
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 ______.
The standard deviation is ______to the mean deviation taken from the arithmetic mean.