
- A14
- B15
- C16
- D17
- 15
Solution:
Add the values corresponding to the height of the bar before 40.
6 + 3 + 4 + 2 = 15

Solution:
Add the values corresponding to the height of the bar before 40.
6 + 3 + 4 + 2 = 15
Solution:
Difference between the maximum & minimum value of the observation is called as range.
So, 32 - 6 = 26
Solution:
Sol. Width of each of the five continuous classes in a frequency distribution is 5.
Lower class limit of the lowest class = 10
Upper class limit of the lowest class is 10 + 5 = 15
So, the five continuous classes are
10 - 15, 15 - 20, 20 - 25, 25 - 30, 30 - 35
Hence, the upper-class limit of the height class is 35.
Solution:
The class width is the difference between the upper- or lower-class limits of consecutive classes. In this case, class width equals to the difference between the lower limits of the first two classes.
w = 10 - 0
So, the class width is 10
In the class intervals 10–20, 20–30, the number 20 is included in:
Solution:
The number 20 is included in 20–30.
Hence, (b) is the correct answer.
Solution:
Let the lower limit = k
Mid-point = m
Upper limit = l
Mid-point $=\frac{\text{(upper limit + lower limit)}}{2}$
$\text{m}=\frac{(\text{k+l})}{2}$
$2\text{m}=\text{k}+\text{l}$
$\text{k}=2\text{m}-\text{l}$
Therefore, lower limit = 2m - l
Solution:
The lower limit for every class is the smallest value in that class on the other hand the upper limit for every class is the greatest value in that class. To represent ‘the more than type’ graphically, we plot the lower limits on the x-axis and cumulative frequency on the y-axis to find the median.
Solution:
The mean of the six numbers is 23.
So the sum of six numbers is 23 × 6 = 138
After excluding one number, the mean of the remaining numbers is 20.
So the sum of five numbers is 20 × 5 = 100
The difference between them is
138 - 100 = 38
Solution:
The number of times a particular item occurs in a given data is called its Frequency.
Solution:
Mean of 5 observations = 11
$\text{Mean}=\frac{\text{Sum of all observations}}{\text{Total number of observation}}$
$\Rightarrow11=\frac{\text{x}+\text{x}+2+\text{x}+4+\text{x}+6+\text{x}+8}{5}$
$\Rightarrow11=\frac{5\text{x}+20}{5}$
$\Rightarrow55=5\text{x}+20$
$\Rightarrow5\text{x}=35$
$\Rightarrow\text{x}=7$
Solution:
The given data is in ascending order.
Here, n is 10, which is an even number. Thus, we have:
Median = mean of $\Big(\frac{\text{n}}{2}\Big)\text{th}$ and $\Big(\frac{\text{n}}{2}+1\Big)\text{th}$ observations $=\frac{1}{2}$ (5th observation + 6th observation)
$=\frac{1}{2}(\text{x}+2+\text{x}+4)=(\text{x}+3)$
= 24
Also, x + 3 = 24
⇒ x = 21
Solution:
The mean of five observations is 15
So the sum of these five observations is 15 × 5 = 75
The mean of first three observations is 14
So the sum of the first three observations is 14 × 3 = 42
So the sum of the last two numbers is 75 - 42 = 33
The mean of the last three observations is 17.
So sum of last three observations is 17 × 3 = 51
So the middle number is 51 - 33 = 18.
| Column | P | Q | R | S | T | E |
| Marks scored | 30-40 | 40-50 | 50-60 | 6-70 | 70-80 | 80-90 |
| Number if students | 4 | 8 | 12 | 10 | 7 | 4 |
Solution:
Class mark $=\frac{\text{( upper limit + Lower limit ) }}{2}$
$=\frac{50+60}{2}$
$=\frac{110}{2}$
So class mark is 55.
Solution:
The median is the middle score for a set of data that has been arranged in ascending or descending order of magnitude.
Since 2x + 1 is in the middle of the arranged numbers, so it is median
Hence, 2x + 1 = 7
Now since 7 occurs more number of times then other numbers so mode of the list is 7.
Solution:
Average is equal to the sum of all the values in the data set divided by the number of values in the data set.
Average $=\frac{\text{x}+\text{x}+\text{y}+\text{y}+\text{y}}{5}$
Average $=\frac{2\text{x}+3\text{y}}{5}$
53kg.
Solution:
Let the weight of the 6th boy be x kg.
$\frac{51+45+49+46+44+\text{x}}{6}=48$
$\Rightarrow51+45+49+46+44+\text{x}=48\times6$
$\Rightarrow235+\text{x}=288$
$\Rightarrow\text{x}=53\text{kg}$
So, the weight of the 6th boy is 53kg.
Solution:
Mean of first five observations $=\frac{\text{x}+\text{x}+2+\text{x}+4+\text{x}+6+\text{x}+8}{5}=11$
⇒ 5x + 20 = 55
⇒ x = 7
⇒ First three numbers are 7, 9, 11
$\text{Mean}=\frac{7+9+11}{3}=\frac{27}{3}=9$
Solution:
$\text{Mean}=\frac{\text{a}+\text{b}+\text{c}+\text{d}+\text{e}}{5}=28$
⇒ a + b + c + d + e = 140 ...(1)
Also, $\text{Mean}=\frac{\text{a}+\text{c}+\text{e}}{3}=24$
⇒ a+ c + e = 72 ...(2)
Subtracting equation (2) from (1), we have
b + d = 68
$\text{Mean}=\frac{\text{b}+\text{d}}{2}=\frac{68}{2}=34$
Solution:
Mean of first 13 observation = 32
$\therefore$ Sum of all first 13 observation = (32 × 13) = 416
Mean of last 13 observation = 40
$\therefore$ Sum of all last 13 observation = (40 × 13) = 520
Mean of 25 observation = 36
$\therefore$ Sum of all first 25 observation = (36 × 25) = 900
Hence, 13th observation = 416 + 520 - 900 = 36
Solution:
Since mean is equal to the sum of all the values in the data set divided by the number of values in the data set also called as average.
Hence, sum of difference of all the numbers & mean value will be zero.
Solution:
We have $\bar{\text{x}}$ is the mean of x1, x2, ......, xn, and $\bar{\text{y}}$ is the mean of y1 , y2 , ... , yn
So, $\bar{\text{x}}=\frac{(\text{x}_1+\text{x}_2+\text{x}_3+\ ....\ +\text{x}_\text{n})}{\text{n}}$
$\Rightarrow\text{x}_1+\text{x}_2+\text{x}_3+\ .....\ +\text{x}_\text{n}=\text{n}\bar{\text{x}}$
And $\bar{\text{y}}=\frac{(\text{y}_1+\text{y}_2+\text{y}_3+\ ....\ +\text{y}_\text{n})}{\text{n}}$
$\Rightarrow\text{y}_1+\text{y}_2+\text{y}_3+\ ....\ +\text{y}_\text{n}=\text{n}\bar{\text{y}}$
If $\bar{\text{z}}$ is the mean of x1, x2, ...., y1 , y2 , ... , yn then,
$\bar{\text{z}}=\frac{\text{n}\bar{\text{x}}+\text{n}\bar{\text{y}}}{\text{n}+\text{n}}=\frac{\text{n}(\bar{\text{x}}+\bar{\text{y}})}{2\text{n}}=\frac{\bar{\text{x}}+\bar{\text{y}}}{2}$
0
Solution:
Given that $\bar{\text{x}}$ is the mean of x1, x2 x3, ..., xn.
$\Rightarrow\frac{\text{x}_1+\text{x}_2+\text{x}_3+_{\dots}+\text{x}_\text{n}}{\text{n}}=\bar{\text{x}}$
$\Rightarrow\text{x}_1+\text{x}_2+\text{x}_3+_{\dots}+\text{x}_\text{n}=\text{n }\bar{\text{x}}\ \dots\text{(i)}$
Consider,
$\big(\text{x}_1-\bar{\text{x}}\big)+\big(\text{x}_2-\bar{\text{x}}\big)+\big(\text{x}-\bar{\text{x}}\big)+_{\dots}+\big(\text{x}_\text{n}-\bar{\text{x}}\big)$
$=\big(\text{x}_1+\text{x}_2+\text{x}_3+_{\dots}+\text{x}_\text{n}\big)-\text{n }\bar{\text{x}}$
$=\text{n}\bar{\text{x}}-\text{n}\bar{\text{x}}\ \dots$ (from (i))
$=0$
Solution:
The median is the middle score for a set of data that has been arranged in ascending or descending order of magnitude.
So for numbers 1, 2, 3, ... 9
5 is the median.
Solution:
In data 5, 4, 7, 5, 8, 8, 8, 5, 7, 9, 5, 7, 9, 10, 8,
We observe that values 5 and 8 both have maximum frequency i.e. 4
Solution:
Arranging the numbers in ascending order, we have:
31, 35, 36, 38, 40, 44, 45, 52, 55, 60
Here, n is 10, which is an even number. Thus, we have:
Median = Mean of $\Big(\frac{\text{n}}{2}\Big)\text{th}$ obervation & $\Big(\frac{\text{n}}{2}+1\Big)\text{th}$ obervation Median Weight = mean of the weights of $\Big(\frac{10}{2}\Big)\text{th}$ student & $\Big(\frac{10}{2}+1\Big)\text{th}$ student = mean of the weights of 5th student & 6th student$=\frac{1}{2}(40+44)=42$
Hence, the median weight is 42kg.
$\Big(\text{a}+\frac{1}{\text{a}}\Big)\frac{\bar{\text{x}}}{2}$
Solution:
Required mean $=\frac{(\text{ax}_1+\text{ax}_2+_{\dots}+\text{ax}_\text{n})+(\frac{\text{x}_1}{\text{a}},\frac{\text{x}_2}{\text{a}},\ \dots,\frac{\text{x}_\text{n}}{\text{a}})}{2\text{n}}$
$=\frac{1}{2}\bigg[\frac{\text{a}(\text{x}_1+\text{x}_2+{\dots}+\text{x}_\text{n})}{\text{n}}+\frac{\frac{1}{2}(\text{x}_1+\text{x}_2+{\dots}+\text{x}_\text{n})}{\text{n}}\bigg]$
$=\frac{1}{2}\Big[\text{a}\bar{\text{x}}+\frac{1}{\text{a}}\bar{\text{x}}\Big]$
$=\Big[\text{a}+\frac{1}{\text{a}}\Big]\frac{\bar{\text{x}}}{2}$
Solution:
Since mean is equal to the sum of all the values in the data set divided by the number of values in the data set.
So increase in the value of each observation will also increase the mean (average) by 3.
Solution:
An ogive is used to determine how many data values lie above or below a particular value in a data set. In other words, it is used to determine the Median of a grouped data.
Solution:
Maximum value of an interval is called the upper limit.
Soultion:
As the classes are continuous, the upper limits do not include in that particular class.
Solution:
$\text{Mean}=\frac{7+5+13+\text{x}+9}{5}=10$
$\Rightarrow34+\text{x}=50$
$\Rightarrow\text{x}=16$
Solution:
The empirical relationship between the three measures of central tendencies is 3 Median = Mode + 2 Mean.
The relationship is as per observation. A distribution in which the values of mean, median and mode coincide (i.e., mean = median = mode) is called symmetrical
Distribution. conversely, when the values of mean, median, mode are not equal, the distribution is called asymmetrical or skewed.
Knowing any two values, the third can be computed by this formula
3 median = 2 mean + mode
2 mean = 3 median – mode
$\text{Mean}=\frac{1}{2}(3 \text{ median - mode})$
Solution:
Difference between the maximum and minimum value of the observation is called as range.
So, 99 - 47 = 52
Solution:
The mean is equal to the sum of all the values in the data set divided by the number of values in the data set.
Solution:
For 1st class mark
Class mark $=\frac{\text{(upper limit +lower limit)}}{2}$
1st class mark = 212
Add the class size to get the class mark of the next class
2nd class mark = 212 + 25
2nd class mark = 237
Hence, the class mark of first two intervals are 212 and 237.
Solution:
Median is the value separating the higher half of the data sample from the lower half.
Arrange the given data in ascending order.
Value of the middle term is the median of the given data sample.
7, 7, 7, 8, 9, 10, 13
Since 8 is in the centre so 8 is the median.
Solution:
The difference between the upper class limit and the lower class limit is called class size.
Solution:
The mean is equal to the sum of all the values in the data set divided by the number of values in the data set.
The first 4 prime numbers are 2, 3, 5, 7
So, mean is $\frac{17}{4}=4.25$
| 125 | 126 | 140 | 98 | 128 | 78 | 108 | 67 |
| 87 | 149 | 102 | 136 | 145 | 112 | 103 | 84 |
| 123 | 130 | 120 | 89 | 103 | 65 | 96 | 65 |
Solution:
Maximum value of the observation is 149 & minimum value is 65.
This range of data need to grouped into classes of equal sizes with 105-120 as one class.
Thus we need to construct classes of width 15.
Below 6 classes can be constructed
60-75, 75-90, 90-105, 105-120, 120-135, 135-150
Solution:
Range = 32 - 6 = 26
| Marks | Less than 10 | Less than 20 | Less than 300 | Less than 40 |
| Cumulative frequency | 3 | 17 | 37 | 92 |
Solution:
A cumulative frequency distribution is the sum of the class and all classes below it in a frequency distribution.
Less than 30 has the class interval 20-30. Frequency of this class interval will be corresponding to
| Marks | Cumulative Frequency | Class | Frequency |
| Less than 10 | 3 | 1-10 | 3 |
| Less than 20 | 17 | 10-20 | 14 |
| Less than 30 | 37 | 20-30 | 20 |
| Less than 40 | 92 | 30-40 | 55 |
37 - 17 = 20
Solution:
The classes are 10-15, 15-20, 20-25, 25-30, 30-35 so that upper limit of the highest class is 35.
Solution:
Difference between the maximum and minimum value of the observations is called as range.
Let, minimum value be 'x'
75 - x = 20
So, x = 55
Solution:
The class mark are 15, 20, 25, ….
The size of each class interval is 25 - 20 = 20 - 15 = 5
Hence, the class interval corresponding to the class mark 20 is,
(20 - 2.5) - (20 + 2.5) i.e., 17.5 - 22.5.
So, (b) is the correct answer.
Solution:
Is increased by 5
Then old mean x old $=\frac{\displaystyle\sum_{\text{i}=1}^{\text{n}}\text{x}_{\text{i}}}{\text{n}}$
Now, adding 5 in each observation, the new mean becomes
$\overline{\text{x}}_\text{New}=\frac{(\text{x}_1+5)+(\text{x}_2+5)+....+(\text{x}_\text{n}+5)}{\text{n}}$
$\Rightarrow\overline{\text{x}}_\text{New}=\frac{(\text{x}_1 + \text{x}_2+....+\text{x}_\text{n})+5\text{n})}{\text{n}}$
$\Rightarrow\overline{\text{x}}_\text{New}=\frac{\displaystyle\sum_{\text{i}=1}^{\text{n}}\text{x}_{\text{i}}}{\text{n}}+5=\overline{\text{x }}{\text{old}}+5$
$\Rightarrow\overline{\text{x}}_\text{New}=\overline{\text{x}}_\text{old}+5$

Solution:
Add the values corresponding to the height of the bar before 40.
6 + 3 + 4 + 2 = 15.
Solution:
Prime numbers between 30 and 40 are 31 and 37.
Mean
$=\frac{31+37}{2}$Mean
$=34$Solution:
Since, Mean – Mode + Mean + 2 Mode = 3 Median
⇒ Mean – Mode = 3 Median – Mean – 2 Mode
= 3 Median – Mean – 2 (3 Median – 2 Mean)
= 3 Median – Mean – 6 Median + 4 Mean
= 3 Mean – 3 Median
= 3 (Mean – Median)
Solution:
Secondary data is the readily available data collected by someone else & published in newspapers or journals etc.
Solution:
The observations in ascending order can be written as:
3, 4, 4, 5, 6, 7, 7, 7, 12
Median $=\Big(\frac{9+1}{2}\Big)\text{th}$ term = 5th term = 6