WBCHSE – Let us Work Out 26.1 – WB Class 10

WBCHSE – Let us Work Out 26.1WB Class 10

 

Q1) I have written ages of my 40 friends in the table given below.

Age (Years)151617181920
Number of Friends47101054

Let us find the average age of my friends by the direct method.

Solution: 

Age (Years) \((x_i)\)Number of friends (frequency) \((f_i)\)\(x_if_i\)
15415 \(\times \) 4 = 60
16716 \(\times \) 7 = 112
171017 \(\times \) 10 = 170
181018 \(\times \) 10 = 180
19519 \(\times \) 5 = 95
20420 \(\times \) 4 = 80
Total\(\sum f_i = 40\)\(\sum x_if_i = 697\)

Calculate the Average:

Formula: Average \( (x̄) = \frac{\sum x_if_i}{\sum f_i}\)

Substitute: \( x̄ = \frac{697}{40} = 17.425 = 17.43\) (approx.)

Therefore, the average age of my friends is 17.43 years.


Q2) I have written member of 50 families of our village in the table given below.

Number of members234567
Number of families68141543

Let us write the average member of 50 families by the method of assumed mean.

Solution: 

Number of Members \((x_i)\)Number of Families \((f_i)\)Deviation \((d_i = x_i − A)\)\(f_i \cdot d_i\)
262 − 4 = −26 \( \times \) (−2\) = −12
383 − 4 = −18 \( \times \) (−1\) = −8
4144 − 4 = 014 \( \times \) 0 = 0
5155 − 4 = 115 \( \times \) 1 = 15
646 − 4 = 24 \( \times \) 2 = 8
737 − 4 = 33 \( \times \) 3 = 9
Total\(\sum f_i = 50\)\(\sum f_i \cdot d_i = 12\)

Calculate the Average:

  • Formula: Average \( (x̄) = A +  \frac{\sum f_i \times d_i}{\sum f_i}\)

  • Substitute: \( x̄ = 4 + \frac{12}{50} = 4 + 0.24 = 4.24\)

Therefore, the average number of members per family in the village is 4.24.


Q3) If the arithmetic mean of the data given below is 20.6, let us find the value of ‘a’.

Variables \((x_i)\)1015a2535
Frequency \((f_i)\)3102575

Solution:

Variables \((x_i)\)Frequency \((f_i)\)\(x_i f_i \)
10310 × 3 = 30
151015 × 10 = 150
a25a × 25 = 25a
25725 × 7 = 175
35535 × 5 = 175
Total\( \sum f_i = 50 \)\( \sum x_i f_i = 530 + 25a \)

Use the Table and Formula:

  • We know the average \( x̄ = 20.6\) and the total frequency \(\sum f_i  = 50\).

  • We also see from the table that \( \sum x_i f_i = 530 + 25a\).

Now we can plug these values directly into the arithmetic mean formula, we get

\( x̄ = \frac{\sum x_i f_i}{\sum f_i}\)

\(\Rightarrow 20.6 = \frac{530 + 25a}{50}\)

\(\Rightarrow 20.6 × 50 = 530 + 25a \)

\(\Rightarrow 1030 = 530 + 25a \)

\(\Rightarrow 1030 – 530 = 25a \)

\(\Rightarrow 500 = 25a \)

\(\Rightarrow a = \frac{500}{50} \)

\(\therefore a = 20 \)

Therefore, the value of ‘a’ is 20.


Q4) If the arithmetic mean of the distribution given below is 15, let us find the value of p.

Score \((x_i)\)510152025
Frequency \((f_i)\)6p6105

Solution:

Variable \((x_i)\)Frequency \((f_i)\)\( x_i f_i \)
565 × 6 = 30
10p10 × p = 10p
15615 × 6 = 90
201020 × 10 = 200
25525 × 5 = 125
Total\( \sum f_i = 27 + p \)\( \sum x_i f_i = 445 + 10p\)

Use the Table and Formula:

  • We know the average \(x̄ = 15 \) and the total frequency \( \sum f_i = 27 + p\).

  • We also see from the table that \( \sum x_i f_i = 445 + 10p \).

Now we can plug these values directly into the arithmetic mean formula:

\( x̄ = \frac{\sum x_i f_i}{\sum f_i}\)

∴ \( 15 = \frac{445 + 10p}{27 + p}\)

Solve for ‘p’:

⇒ 15(27 + p) = 445 + 10p

⇒ 405 + 15p = 445 + 10p

⇒ 15p – 10p = 445 – 405

⇒ 5p = 40

⇒ p = 40 / 5

∴ p = 8

Therefore, the value of ‘p’ is 8.


Q5) Rahamatchacha will go to the retail market to sell mangoes kept in 50 packing boxes. The table below shows the distribution of boxes based on the number of mangoes they contain. Find the mean number of mangoes per box.

Number of MangoesNumber of Boxes
50-526
52-5414
54-5616
56-589
58-605

Solution:

Number of MangoesMidpoint \( (x_i) \)Number of Boxes \( (f_i) \)\( f_i x_i \)
50-52516306
52-545314742
54-565516880
56-58579513
58-60595295
Total\( \sum f_i = 50\)\( \sum f_i =2736 \)

Mean \(\overline{x}= \frac{\sum f_i x_i}{\sum f_i } = \frac{2736}{50} = 54.72 \)

Therefore, the mean number of mangoes per box is 54.72.


Q6) Mahidul has recorded the ages of 100 patients at a village hospital. Calculate the average age of these 100 patients using the data provided below:

Age (years)10-2020-3030-4040-5050-6060-70
Number of patients12822201820

Solution:

We’ll use the following table to calculate the average age:

Age (years)Midpoint \((x_i)\)Number of patients \((f_i)\)\( f_i x_i \)
10-201512180
20-30258200
30-403522770
40-504520900
50-605518990
60-7065201300
Total1004340

Average Age = \( \frac{\sum f_i x_i}{\sum f_i} = \frac{4340}{100} = 43.4 \ \text{years}\)

Therefore, the average age of the 100 patients at the village hospital is 43.4 years.


Q7) (i) Let us find the mean of the following data by the direct method:

Class Interval0-1010-2020-3030-4040-50
Frequency461064

Solution:

Class IntervalMidpoint \((x_i)\)Frequency \((f_i)\)\( f_i x_i \)
0-105420
10-2015690
20-302510250
30-40356210
40-50454180
Total30750

Mean \( \overline{x} = \frac{\sum f_i x_i}{\sum f_i}  = \frac{750}{30} = 25\)

Therefore, the mean of the given data is 25.


Q7 (ii) Let us find the mean of the following data by the direct method: 

Class interval10-2020-3030-4040-5050-6060-70
Frequency101620301311

Solution:

Class IntervalMidpoint \((x_i)\)Frequency \((f_i)\)\( f_i x_i \)
10-201510150
20-302516400
30-403520700
40-5045301350
50-605513715
60-706511715
Total1004030

Mean \(\overline{x} = \frac{\sum f_i x_i}{\sum f_i} \) = 4030 / 100 = 40.3

Therefore, the mean of the given data is 40.3.


Q8 (i) Let us find the mean of the following data by the assumed mean method:

Class Interval0-4040-8080-120120-160160-200
Frequency1220252013

Solution:

Class IntervalMidpoint \((x_i)\)Frequency \((f_i)\)Assumed Mean (A)Deviation \((d_i=x_i – A) \)\( f_i d_i \)
0-402012100-80-960
40-806020100-40-800
80-1201002510000
120-1601402010040800
160-20018013100801040
Total9080

Here’s how we calculate the mean using the assumed mean method:

  1. Choose an Assumed Mean (A): We choose a convenient midpoint from the data, in this case, 100.

  2. Calculate Deviations (d): Subtract the assumed mean (A) from each midpoint \((x_i)\): \( d_i=x_i-A \)

  3. Calculate the Mean:
    Mean \( \overline{x}=A+ \frac{\sum f_i d_i}{\sum f_i} \)
    ⇒ \( \overline{x} \) = 100 + (80 / 90)
    ⇒ \( \overline{x} \) = 100 + 0.89
    Mean \( \overline{x} \) = 100.89

Therefore, the mean of the given data, calculated using the assumed mean method, is 100.89.


Q8 (ii) Let us find the mean of the following data by the assumed mean method:

Class Interval25-3535-4545-5555-6565-75
Frequency4108126

Solution: 

Class IntervalMidpoint \((x_i)\)Frequency \((f_i)\)Assumed Mean (A)Deviation \((d_i=x_i – A) \)\( f_i d_i \)
25-3530450-20-80
35-45401050-10-100
45-555085000
55-6560125010120
65-757065020120
Total4060

Here’s the breakdown:

  1. Choose an Assumed Mean (A): We choose a convenient midpoint from the data. In this case, we’ll use 50.

  2. Calculate Deviations (d): Subtract the assumed mean (A) from each midpoint \((x_i)\): \( d_i=x_i-A \)

  3. Calculate the Mean:
    Mean \( \overline{x}=A+ \frac{\sum f_i d_i}{\sum f_i} \)
    Mean \( \overline{x} \) = 50 + (60 / 40)
    Mean \( \overline{x} \) = 50 + 1.5
    Mean \( \overline{x} \) = 51.5

Therefore, using the assumed mean method, the mean of the data is confirmed to be 51.5.


Q9 (i) Find the mean of the following data using the step deviation method:

Class Interval0-3030-6060-9090-120120-150
Frequency121520258

Solution:

Class IntervalMidpoint \((x_i)\)Frequency \((f_i)\)Assumed Mean (A)Step Deviation \( (u_i =\frac{x_i – A}{h} )\)\( f_i u_i \)
0-30151260-3-36
30-60451560-1-15
60-90752060120
90-1201052560375
120-150135860540
Total8084

Where:

  • h (class width) = 30

Mean \( \overline{x} = A + h \times (\frac{\sum f_i u_i}{\sum f_i})\)
Mean \( \overline{x} \) = 60 + 30 × (84 / 80)
Mean \( \overline{x} \) = 91.5

Therefore, the mean is 91.5.


Q9 (ii) Find the mean of the following data using the step deviation method:

Class Interval0-1414-2828-4242-5656-70
Frequency721351116

Solution:

Class IntervalMidpoint \((x_i)\)Frequency \((f_i)\)Assumed Mean (A)Step Deviation \( (u_i =\frac{x_i – A}{h}) \)\( f_i u_i \)
0-147728-3-21
14-28212128-1-21
28-42353528135
42-56491128333
56-70631628580
Total90106

Where:

  • h (class width) = 14

Mean \( \overline{x} = A + h \times (\frac{\sum f_i u_i}{\sum f_i})\)
Mean \( \overline{x} \) = 28 + 14 × (106/ 90)
Mean \( \overline{x} \) = 44.49

Therefore, the mean is 44.49.


Q10) If the mean of the following frequency distribution table is 24, find the value of p.

Class Interval (Number)0-1010-2020-3030-4040-50
Number of students152035p10

Solution:

We can use the formula for calculating the mean of grouped data:

Mean \( \overline{x} = \frac{\sum f_i x_i}{\sum f_i} \)

where:

  • \(\overline{x} \) is the mean

  • \( f \) is the frequency of each class

  • \( x \) is the midpoint of each class

1. Calculate the midpoints \((x_i)\) of each class interval:

Class IntervalMidpoint \((x_i)\)Frequency \((f_i)\)\(f_i x_i \)
0-1051575
10-201520300
20-302535875
30-4035p35×p
40-504510450
  80+p1700+35p

2. Simplify and solve for p:

\( 24 = \frac{1700 + 35p}{80 + p} \)
⇒ 24(80 + p) = 1700 + 35
p

⇒ 1920 + 24p = 1700 + 35p
⇒ 220 = 11p
∴ p = 20

Therefore, the value of p is 20.


Q11) Let us see the ages of the persons present in a meeting and determine their average age from the following table:

Age (years)30-3435-3940-4445-4950-5455-59
Number of persons101215643

Solution:

1. Create Exclusive Class Limits and Midpoints:

Age (years)Exclusive Class LimitsMidpoint \((x_i)\)Number of Persons \((f_i)\)\( f_i x_i \)
30-3429.5 – 34.53210320
35-3934.5 – 39.53712444
40-4439.5 – 44.54215630
45-4944.5 – 49.5476282
50-5449.5 – 54.5524208
55-5954.5 – 59.5573171
Total502055

2. Calculate the Mean:

Average Age ​\( \overline{x}= \frac{\sum f_i x_i} {\sum f_i} = \frac{2055}{50} = 41.1 \text{years} \)

Therefore, even with the adjustment to exclusive class limits, the average age of the persons in the meeting remains 41.1 years.

Key Point: While converting to exclusive class limits is crucial for accuracy, especially for finding the mode, in this specific case, it did not affect the calculated mean. This is because the adjustments to the class limits resulted in the same midpoint values.

Answer: The average age of the persons present in the meeting is 41.1 years.


Q12) Let us find the mean of the following data:

Class Interval5-1415-2425-3435-4445-5455-64
Frequency361820103

Solution:

Create Exclusive Class Limits and Midpoints:

Class IntervalExclusive Class LimitsMidpoint \((x_i)\)Frequency \((f_i)\)\( f_i x_i \)
5-144.5 – 14.59.5328.5
15-2414.5 – 24.519.56117
25-3424.5 – 34.529.518531
35-4434.5 – 44.539.520790
45-5444.5 – 54.549.510495
55-6454.5 – 64.559.53178.5
Total602140

Mean \(\overline{x}= \frac{\sum f_i x_i} {\sum f_i} = \frac{2140}{60} = 35.67 \)

Answer: The mean of the given data is 35.67.


Q13) Let us find the mean of obtaining marks of girl students if their cumulative frequencies are as follows:

Class Interval (marks)Less than 10Less than 20Less than 30Less than 40Less than 50
Number of girl students59172945

Solution:
First, we need to convert the cumulative frequencies to regular frequencies:

Class Interval (marks)Frequency \((f_i) \)Midpoint \((x_i) \)\( f_i x_i \)
0-105525
10-204 (=9 − 5)1560
20-308 (=17 − 9)25200
30-4012 (=29 − 17)35420
40-5016 (=45 − 29)45720
Total451425

Mean \(\overline{x}= \frac{\sum f_i x_i} {\sum f_i} = \frac{1425}{45} = 31.67\)

Answer: The mean of the marks obtained by the girl students is 31.67.


Q14) Let us find the mean of the obtaining marks of 64 students from the table given below:

Class Interval (marks)1-44-99-1616-17
Students6122620

Solution:

Class Interval (marks)Midpoint \((x_i) \)Students \((f_i) \)\( f_i x_i \)
1-42.5615
4-96.51278
9-1612.526325
16-1716.520330
Total64748

Mean \(\overline{x}= \frac{\sum f_i x_i } {\sum f_i} = \frac{748}{64} = 11.69 \)

Answer: The mean of the marks obtained by the 64 students is 11.69.

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