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# Class 11 RD Sharma Solutions- Chapter 32 Statistics – Exercise 32.6

### Question 1.Calculate the mean and S.D. for the following data:

Solution:

Given:

Number of observations, N = 90 and A = 25 h = 10

Mean =  = 25 + 10(10/90) = 26.11 = 10[(150/90) – (10/90)2]

= 165.4

Standard Deviation = √var(x) = √165.4 = 12.86

### Question 2. Calculate the standard deviation for the following data:

Solution:

Given: N = 300 and A =105 h = 30

Mean =  = 105 + 30(137/300) = 118.7 = 900[(665/300) – (137/300)2

= 1807.31

Standard Deviation = √var(x) = √1807.31 = 42.51

### Question 3. Calculate the A.M. and S.D. for the following distribution:

Solution:

Given:  N = 79 and A =35 h = 10

Mean =  = 35 + 10(-71/79) = 26.01 = 100[(305/79) – (-71/79)2

= 305.30

Standard Deviation  = √var(x) = √305.30 = 17.47

### Question 4. 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 is 40. Find the correct mean and S.D.

Solution:

According to question, we have,

n = 100 , And, also  = 1626.01 x 100

Incorrected = 162601

On replacing the incorrect observation of 50 by 40, we get,

Incorrect = 4000

Corrected = 4000 – 50 + 40 = 3990

Incorrected = 162601

Corrected = 162601 – 502 + 402 = 161701

Now, we have,

Corrected Mean = 39.90

Corrected Variance = (1/100)(Corrected ) – (Corrected mean)2 = 25

Corrected standard deviation = √25 = 5

### Question 5. Calculate the mean, median, and standard deviation of the following distribution:

Solution:

Now, using the given values, we have

Mean = 53 + 5 x (-30/50)

= 50

Variance = 25 x ((134/50) – (9/25)

= 58

Standard Deviation = √58

= 7.62

### Question 6. Find the mean and variance of frequency distribution given below:

Solution:

The data can be converted to a continuous frequency distribution by subtracting 0.5 from lower limit and adding 0.5 to upper limit of each of the class interval.

Given: N = 16 and A = 5.5 and h=1

Mean =  = 5.5 + 1((1/6) x (-30))

= 3.625 = 1 [((1/16) x 116) – ((1/16) x (-30)2

= 3.74

### Calculate mean, variance, and standard deviation.

Solution:

Now, using the given values, we have

Mean = 203.5 + 2 x (-54/70)

= 201.9

Variance = 4 x (62/70) – (-54/70)

= 0.98

Standard Deviation = √0.98

= 0.099

### Question 8. 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.

Solution:

Mean = 40

Standard Deviation = 10

n = 100 Corrected Sum = 4000 – 30 +70 + 3 + 27 = 3930

Corrected mean = 39.3

Variance = 100 Incorrect \sum x_i^2 = 170000

So, Corrected \sum x_i^2 = Incorrect – (Sum of squares of incorrect values) +

(Sum of squares of corrected values)

Corrected = 170000 – (900 + 4900) + (9+729)

= 164938 = 10.24

### Question 9. While calculating the mean and variance of 10 reading, a student wrongly used the reading of 52 for the correct reading 25. He obtained the mean and variance as 45 and 16 respectively. Find the correct mean and variance.

Solution:

Mean = 45

Variance = 16

n = 10 So, Corrected Sum = 450 – 52 + 25 = 423

Corrected mean = 42.3

Variance = 16

1 Corrected = Incorrect – (Sum of squares of incorrect values) +

(Sum of squares of corrected values)

Corrected = 20410 – 2704 + 625 = 18331 = 6.62

So, Corrected variance = 6.62 * 6.62 = 43.82

### Question 10. Calculate mean, variance, and standard deviation of the following frequency distribution:

Solution:

Given:

Number of observations, N = 70 and A = 35 h = 10

Mean =  = 35 + 10(-98/70) = -21 = 100[(1/70) x 250 – (1/70) x (-98)2]

= 161

Standard Deviation = √var(x)

= √161

= 12.7

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